bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Gene Set Identifies Senescent Cells and Predicts Senescence-Associated Pathways Across Tissues
Authors: Khosla Sundeep , Saul Dominik , Kosinsky Robyn Laura , Atkinson Elizabeth , Doolittle Madison , Zhang Xu , LeBrasseur Nathan , Pignolo Robert , Robbins Paul , Niedernhofer Laura , Ikeno Yuji , Jurk Diana , Passos Joao , Hickson LaTonya , Xue Ailing , Monroe David , Tchkonia Tamara , Kirkland James , Farr Joshua 
Published: December 2021

Abstract
Although cellular senescence is increasingly recognized as driving multiple age-related co-morbidities through the senescence-associated secretory phenotype (SASP), in vivo senescent cell identification, particularly in bulk or single cell RNA-sequencing (scRNA-seq) data remains challenging. Here, we generated a novel gene set (SenMayo) and first validated its enrichment in bone biopsies from two aged human cohorts. SenMayo also identified senescent cells in aged murine brain tissue, demonstrating applicability across tissues and species. For direct validation, we demonstrated significant reductions in SenMayo in bone following genetic clearance of senescent cells in mice, with similar findings in adipose tissue from humans in a pilot study of pharmacological senescent cell clearance. In direct comparisons, SenMayo outperformed all six existing senescence/SASP gene sets in identifying senescent cells across tissues and in demonstrating responses to senescent cell clearance. We next used SenMayo to identify senescent hematopoietic or mesenchymal cells at the single cell level from publicly available human and murine bone marrow/bone scRNA-seq data and identified monocytic and osteolineage cells, respectively, as showing the highest levels of senescence/SASP genes. Using pseudotime and cellular communication patterns, we found senescent hematopoietic and mesenchymal cells communicated with other cells through common pathways, including the Macrophage Migration Inhibitory Factor (MIF) pathway, which has been implicated not only in inflammation but also in immune evasion, an important property of senescent cells. Thus, SenMayo identifies senescent cells across tissues and species with high fidelity. Moreover, using this senescence panel, we were able to characterize senescent cells at the single cell level and identify key intercellular signaling pathways associated with these cells, which may be particularly useful for evolving efforts to map senescent cells (e.g., SenNet). In addition, SenMayo represents a potentially clinically applicable panel for monitoring senescent cell burden with aging and other conditions as well as in studies of senolytic drugs.
Effectiveness of Early Essential Newborn Care Implementation In Four Provinces of Western China
Authors: Wang Chenran , Lin Yun , Zhang Hanxiyue , Yang Ge , Tang Kun , Tian Xiaobo , Huang Xiaona , Xu Tao 
Published: December 2021

Abstract
Introduction: Neonatal survival remains a public health concern globally. Early Essential Newborn Care (EENC) recommended by World Health Organization is a package of cost-effective interventions to improve neonatal health and development outcomes. In this study we aimed to explore the effectiveness of EENC implementation in four provinces of western China.Methods: A pre- and post-intervention investigations were conducted in 4 selected EENC intervention counties and 4 control counties of four western provinces of China, during June to August 2017 and December 2020 to April 2021 respectively. A mixed quantitative and qualitative approach was used for data collection and analysis. Data on the coverage of EENC practices were collected through post-intervention face-to-face questionnaire interview with postpartum mothers before hospital discharge. Hospital-reported data on neonatal health outcomes were obtained through mail surveys in both investigations. We also performed semi-structured interviews with stakeholders of policymakers, health staff, and postpartum mothers to learn their perceived usefulness of EENC implementation. Results: 599 mother-newborn pairs in the intervention group and 699 pairs in the control group participated in the post-intervention survey. With the confounding factor of province being controlled for, proportions of newborns receiving any skin to skin contact (99.50% vs. 49.07%), exclusive breastfeeding before discharge (92.57% vs. 63.80%), no applied medicine to the umbilical cord (98.50% vs. 9.73%), routine eye care (93.16% vs. 8.73%), and vitamin K1 administration (98.33% vs. 88.98%) were higher in the intervention group compared with the control group (P<0.05). Lower incidences of neonatal diarrhea (0.07% vs. 0.22%) and eye infection (0.04% vs. 0.29%) were reported in the intervention group than the control group (P<0.05). The enhanced satisfaction of stakeholders primarily manifests in belief acknowledgement, policy promotion, emotional support, health improvement, widely-acknowledged sustainability, and work support. Conclusion: EEEC-recommended core practices have been successfully introduced in pilot hospitals. The efficacy of EENC implementation should be highly recognized to accelerate the progress towards its national rolling out.
A High-robust Sensor Activity Control Algorithm for Wireless Sensor Networks
Authors: Tsai Rong-Guei , Tsai Pei-Hsuan 
Published: December 2021

Abstract
In wireless sensor networks, it is important to use the best number of sensors to optimize the network and consider the key design and cost. Owing to the limited power of sensors, how controlling the state of the sensor through an automatic control algorithm and power-saving and efficient distribution of work have become important issues. However, sensor nodes are usually deployed in dangerous or inaccessible locations. Therefore, it is difficult and impractical to supply power to sensors through humans. In this study, we propose a high-reliability control algorithm with fast convergence and strong self-organization ability, called sensor activity control algorithm (SACA), which can efficiently control the number of sensors in the active state and extend their use time. SACA considers the relationship between the total number of inactive sensors and the target value and determines the state of the sensor in the next round. The data transmission technology of random access is used between the sensor and the base station; therefore, the sensor in the sleep state does not need to receive the feedback packet from the base station. The sensor can achieve true dormancy and power-saving effects. The experimental results show that SACA has fast convergence, strong self-organization capabilities, and power-saving advantages.
Autoantibody Signatures Discovered by HuProt Protein Microarray to Enhance the Diagnosis of Lung Cancer
Authors: Wang Yulin , Li Jiaqi , Zhang Xue , Liu Man , Ji Longtao , Yang Ting , Wang Kaijuan , Song Chunhua , Wang Peng , Ye Hua , Shi Jiangxiang , Dai Liping 
Published: December 2021

Abstract

Background: This study aims to comprehensively discover novel autoantibodies (TAAbs) against tumor-associated antigens (TAAs) and establish diagnostic models for assisting in the diagnosis of lung cancer (LC) and discrimination of pulmonary nodules (PN).Methods: HuProt human microarray was used to discover the candidate TAAs and Enzyme-linked immunosorbent assay (ELISA) was performed to detect the level of TAAbs in 634 participants of two independent validation cohorts. Logistic regression analysis was used to construct models. Receiver operating characteristic curve (ROC) analysis was utilized to assess the diagnostic value of models.Results: Eleven TAAs were discovered by means of protein microarray and data analysis. The level of ten TAAbs (anti-SARS, anti-ZPR1, anti-FAM131A, anti-GGA3, anti-PRKCZ, anti-HDAC1, anti-GOLPH3, anti-NSG1, anti-CD84 and anti-EEA1) was higher in LC patients than that in NC of validation cohort 1 (P<0.05). The model 1 comprising 4 TAAbs (anti-ZPR1, anti-PRKCZ, anti-NSG1 and anti-CD84) and CEA reached an AUC of 0.813 (95%CI: 0.762-0.864) for diagnosing LC from normal individuals. 5 of 10 TAAbs (anti-SARS, anti-GOLPH3, anti-NSG1, anti-CD84 and anti-EEA1) existed a significant difference between malignant pulmonary nodules (MPN) and benign pulmonary nodules (BPN) patients in validation cohort 2 (P<0.05). Model 2 consisting of anti-EEA1, traditional biomarkers (CEA, CYFRA211 and CA125) and 3 CT characteristics (vascular notch sign, lobulation sign, mediastinal lymph node enlargement) could distinguish MPN from BPN patients with an AUC of 0.845 (sensitivity: 58.3%, specificity: 96.6%).Conclusions: High-throughput protein microarray is an efficient approach to discovering novel TAAbs which could increase the accuracy of lung cancer diagnosis in the clinic.
Identification of Pathways and Genes Associated with Chemoradiotherapy in Locally Advanced Cervical Cancer
Authors: Zhang Zhenhua , Zhang Yao , Ma Yongshun , Xiang Shixin , Shen Jing , Zhao Yueshui , Wu Xu , Li Mingxing , Yang Xiao , Du Fukuan , Liu Lin , Xiao Zhangang , Wen Qinglian 
Published: December 2021

Abstract
The standard treatment approach for locally advanced cervical cancer (LACC) is concurrent chemoradiotherapy (CCRT). However, resistance to radiotherapy and chemotherapy often leads to failure of LACC therapy. Thus, the key pathways and genes associated with CCRT in LACC should be identified urgently. The Weighted Gene Co-Expression Network Analysis (WGCNA) was used for the identification of highly correlated gene modules. A protein-protein interaction (PPI) network was constructed using STRING and hub genes were selected. Furthermore, single-cell transcriptome sequencing was used to elucidate the cell type composition of the cervix sample and analyze the expression levels of key genes in cells. We identified 580 differentially expressed genes (DEGs) in LACCk, which were mainly invovled in Human papillomavirus infection, focal adhesion, and ECM-receptor interaction signaling pathways. Ten hub genes (COL1A1, COL6A1, COL6A2, LAMA4, COL6A3, LAMC1, HSPG2, ITGA9, CTGF, PDGFRB) were screened for further study. We showed that COL1A1, COL6A1, COL6A2 were highly expressed after radiotherapy or chemoradiotherapy. By analyzing the single-cell sequence, we found that the main cell types in cervical tissue include Fibroblasts, Smooth muscle cells, Tissue stem cells, Endothelial cells, Progenitor cells, Epithelial cells, T cells, Basal cells, Macrophages, and Mast cells. COL1A1, COL6A1, COL6A2, COL6A3, CTGF, and PDGFRB were highly expressed in Progenitor cells. Human papillomavirus infection, focal adhesion, and ECM-receptor interaction signaling pathway are related to the failure of CCRT for LACC, which warrants further research to improve CCRT sensitivity in LACC targeting on these candidate genes or pathways.
A Systematic Approach to Identifying and Developing Implementation Strategies to Support the Uptake of a Risk Tool to Aid in Clinical Management of Patients with Syncope: A Qualitative Study
Authors: Rouleau Geneviève , Thiruganasambandamoorthy Venkatesh , Wu Kelly , Ghaedi Bahareh , NGuyen Phuong Anh , Desveaux Laura 
Published: December 2021

Abstract
Background: The Canadian Syncope Risk Score (CSRS) is a validated risk stratification tool developed to optimize the accuracy of emergency department decisions and inform evidence-based clinical actions. While preliminary work has been undertaken to understand the barriers to CSRS use, no work to date has explored how to implement the CSRS to overcome these barriers in practice. This study aimed to identify which implementation strategies are most appropriate to address these barriers and how they should be implemented to mitigate the possibility of poor uptake. Methods: We conducted a series of three iterative online user-centered design workshops with emergency medicine physicians from three hospital sites in Ontario, Canada. The objective of the workshops was to engage participants in identifying acceptable strategies to promote CSRS uptake and how they should be operationalized. To support this, we systematically mapped previously identified barriers to corresponding behaviour change techniques to identify the most likely strategies to effect change. The sessions were audio-recorded and dialogue relating directly to the study objective were transcribed. We performed a qualitative content data analysis according to pre-defined objectives for each workshop. Results: Fourteen physicians participated across the three workshops. The main implementation strategies identified to overcome identified barriers were: education in the format of meetings, videos, journal clubs, and posters (uncertainty around when and how to apply the CSRS); an online calculator and integration of the CSRS into electronic medical record (uncertainty in how to apply the CSRS), local champion (lack of team buy-in); and dissemination of evidence summaries and feedback through email communications (lack of evidence about impact). Conclusions: The ability of the CSRS to effectively improve patient safety and syncope management relies on broad buy-in and uptake across physicians. To ensure the CSRS is well-positioned for impact, a comprehensive suite of implementation strategies was identified to address known barriers. This next phase of work will provide insight into whether these strategies facilitated better alignment with barriers, higher physician engagement with the implementation strategies, and broader uptake of the CSRS, with the objective of improving the likelihood that the CSRS will positively influence patient outcomes.
Egg White/Polyvinyl Alcohol/Clay Bionanocomposite Hydrogel Adsorbents for Dye Removal
Authors: Khadivi Homa , Sirousazar Mohammad , Abbasi-Chianeh Vahid , Jalilnejad Elham 
Published: December 2021

Abstract
In the current study, bionanocomposite hydrogels based on egg white and polyvinyl alcohol loaded with 0, 4 and 8 wt.% of montmorillonite clay were prepared and utilized as effective adsorbents for removing the methylene blue from aqueous solutions. The structural characteristics of the prepared adsorbents were studied and the gel content, the influence of the pH of the medium on swelling kinetics and the methylene blue diffusion coefficient in the adsorbents were investigated. It was found that the swelling ratio and diffusion coefficient of bionanocomposite hydrogel adsorbents increased either with increasing the pH of the medium or decreasing the loading level of montmorillonite and gel contact had a direct dependency on the montmorillonite content. Taguchi method was utilized to determine the effects of main factors on the batch adsorption process, including the montmorillonite loading level in adsorbent, pH of the solution and dye initial concentration in adsorption solution. The optimum adsorption conditions by the Taguchi method were determined as montmorillonite loading level of 8 wt.%, pH of 9 and methylene blue initial concentration of 5 mg/L. The experimental adsorption results were fitted to the various isotherms and kinetic models. It was shown that intra-particle diffusion was the best model for elucidating adsorbents' behavior in methylene blue removal. It was finally deduced that the prepared bionanocomposite hydrogel adsorbents could be recognized as effective eco-friendly adsorbents for removing the cationic dyes from wastewaters.
Energy Transfer and Fabry-Perot Oscillation: A New Paradigm for Electrically Driven Laser in Quasi-2D Ruddlesden-Popper Perovskite Microplates Film
Authors: Bera Krishna , Hanmandlu Chintam , Lin Hung-I , Ghosh Rapti , Gudelli Vijay Kumar , Lai Chao-Sung , Chu Chih-Wei , Chen Yang-Fang 
Published: December 2021

Abstract
Recently emerged metal-halide hybrid perovskite (MHP) possesses superb optoelectronic features, which have great attention in solid-state lighting, photodetection, and photovoltaic applications. Because of its excellent external quantum efficiency, MHP acquires enormous potential for manifestation of ultra-low threshold optically pumped laser. However, demonstration of electrical-driven laser remains a challenge because of vulnerable degradation of perovskite, limited exciton binding energy, and intensity quenching and efficiency drop by non-radiative recombinations. In this work, we observed an ultralow-threshold (~ 18 nJcm−2) optically pumped Fabry-Perot (F-P) laser from moisture insensitive mixed dimensional quasi-2D Rudlesden-Popper phase perovskite (RPP) microplates. Unprecedently, we demonstrated electrical-driven F-P laser with threshold ~ 0.15 Acm−2 from quasi-2D RPP by judicious combination of perovskite/hole transport layer (HTL) and electron transport layer (ETL) having suitable band alignment and thickness. Additionally, we showed tunibility of lasing modes by driving external electrical potential. Ultralow-threshold lasing is mainly ascribed by existence of F-P feedback resonance inside RPP microplate, and selective resonance energy transfer mechanism in-between microplates. Performing the finite difference time domain (FDTD) simulations, we confirmed the presence of F-P feedback resonance, and light trapping effect at perovskite/ETL contributing to laser action. Our discovery of electrical-driven laser from MHP opens an alternative avenue in developing optoelectronics.
Crystalization-enhanced Stability by Effectively Suppressing Pho-tooxidation Defect for Lasing Emission and Electroluminescent Device
Authors: Zhang He , Lin Dongqing , Liu Huifang , Liu Wei , Wang Yang-Cheng , Jin Dong , Li Zhu-Xin , Zhang Xinwen , Huang Lei , Wang Shasha , Xu Chunxiang , Xie Linghai 
Published: December 2021

Abstract
Effectively protection against photooxidation of wide bandgap semiconductors remains a challenge that become the bottleneck on the road to commercialization. Herein, we demonstrated the crystallization effects of fluorene-based blue emitters on long-wavelength green band (g-band) defect with the well-defined organic micro/nanocrystals obtained via the self-assembly of surfactant-assisted reprecipitation methods. For the key molecule model 2,2'-bi(9,9-dipropyl)fluorene (DDC3F), the self-assembled nanorods film ex-hibits an ultrastable spectral stability without the presence of g-band emission (530 nm), and even main-tains the deep-blue emission under ultraviolet exposure (~ 3 h). In contrast, the spin-coated amorphous film shows a poor color purity with a green-index of ~ 4. Our results offer a robust evidence on the princi-ple in aggregate-enhanced stability, which is severely ignored by the general application of amorphously glassy molecules in OLED devices. In addition, the single nanorod as Fabry-Pérot (FP) optical resonator exhibits size-dependent dual wavelength lasing at 392 nm (threshold: 102 mW/cm2) and 412 nm (threshold: 216 mW/cm2), and generates the deep-blue electroluminescence in solution-processing OLED devices. The supramolecular self-assembled micro/nanocrystals strategy provides a potential platform to maintain ultrastable color purity in wide-bandgap optoelectronic device.
The Value of Ecological Assets Based on Land Cover/Use Pattern in Kunming, Yunnan Province
Authors: Xu Meng , Zhang Kouqiang , Wei Shu’na 
Published: December 2021

Abstract
Nowadays, the quantitative assessment of the ecological assets assessment was a hot topic and focus in the field of ecology and environmental economics. Quantitative evaluation of ecological assets can monetize the value of ecological assets, strengthen local ecological environment protection, and promote the service functions of regional ecosystems. Taking urban area as research area can clarify the value of local ecological protection and provide a scientific basis for the positioning of the functions and the construction of ecological civilization. The results showed that the value of ecological assets in Kunming was 249.858 billion yuan and 305.180 billion yuan in 2010 and 2020, respectively. Grassland made the largest contribution to ecological assets and was an important part of the composition of ecological assets, and the value of soil and water conservation occupied a large proportion in Kunming's ecological assets. The value of ecological assets in Kunming was growing in general, but a few ecological services have declined in value, so it was necessary to increase the ecological construction and strengthen the supervision and management of ecological assets.
Nutritional and Logarithmic Fungal Count of Brewers’ Grain Under Different Conservation Techniques and Brewery Sources
Authors: Kitaw Getu , Terefe Geberemariyam , Faji Mulisa 
Published: December 2021

Abstract
This study was contained two trials. The objectives of the first and the second trials were to explore variations in nutritional merits and investigate the effect of local conservation practices on nutritional and fungal load dynamics of wet brewers’ grain (WBG) received from different brewery sources, respectively. Fresh WBG samples for the first trial were obtained from four breweries (Meta Abo, Habesha, Dashen and Bedele) located in different districts of the country. Brewers’ grain sample received from Meta Abo brewery factory had superiorly higher (p<0.05) acid detergent fiber, lignin and digestible organic matter in the dry matter (DOMD), but comparable dry matter (DM), total ash, crude protein (CP) and neutral detergent fiber with the other breweries. In the second trial, an attempt was made to evaluate three locally available WBG conservation practices, preservation of WBG using an ensiling technique maintained feed quality slightly comparable to the control sample (freeze dried ) but outperformed (p<0.05) other locally available conservational practices “soaking” and “sun drying “ with minimal loss on feed DM and other nutrients, lower total fungal, yeast and mold colony counts and above all superior CP digestion kinetics as measured through nylon bag degradability constants. If supply is not a constraint under local conditions, ensiling can fairly be recommended as a best bet WBG conservation practice for use at wider scale.
Cyclical Learning Rates (CLR’s) for Improving Training Accuracies and Lowering Computational Cost
Authors: Chopade Rushikesh , Stanam Aditya , Narayanan Anand , Pawar Shrikant 
Published: December 2021

Abstract
Prediction of different lung pathologies using chest X-ray images is a challenging task requiring robust training and testing accuracies. In this article, one-class classifier (OCC) and binary classification algorithms have been tested to classify 14 different diseases (atelectasis, cardiomegaly, consolidation, effusion, edema, emphysema, fibrosis, hernia, infiltration, mass, nodule, pneumonia, pneumothorax and pleural-thickening). We have utilized 3 different neural network architectures (MobileNetV1, Alexnet, and DenseNet-121) with four different optimizers (SGD, Adam, and RMSProp) for comparing best possible accuracies. Cyclical learning rate (CLR), a tuning hyperparameters technique was found to have a faster convergence of the cost towards the minima of cost function. Here, we present a unique approach of utilizing previously trained binary classification models with a learning rate decay technique for re-training models using CLR’s. Doing so, we found significant improvement in training accuracies for each of the selected conditions. Thus, utilizing CLR’s in callback functions seems a promising strategy for image classification problems.