bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Prognostic Model of Oxidative-Stress-Related lncRNAs in Hepatocellular Carcinoma &amp; Its Validation In Vitro
Authors: Zhao Weijian , Li Yaqi , Xu Hongting , Zhang Xiaofei , He Xuesong , Xiao Xiangqian , Sheng Wang 
Published: October 2023

Abstract
Hepatocellular carcinoma (HCC)is one of the most common cancers and the most common primary liver cancer worldwide. Oxidative stress is believed to be closely related to the development of cancer. Long non-coding RNAs (lncRNAs) are also reported to play an important regulatory effect in carcinogenesis and malignancy. Therefore, we constructed a prognostic model for oxidative-stress-related lncRNAs to evaluate the prognosis of HCC patients and demonstrated that AC009005.1 is a carcinogenic factor which can promote the development of HCC in vitro experiments.
Neuroprotective upshot of isorhoifolin flavonoid of Gmelina asiatica for multitargeted approach in Alzheimer's disease: Exploration through in-silico studies
Authors: Andarghiske Komal Rajesh , Kancharla Bhanukiran , Siva Hemalatha 
Published: October 2023

Abstract
Alzheimer's is a progressive neurodegenerative disease with amyloid-beta peptide deposition that impairs memory and cognitive decline. In previous reports, the plant Gmelina asiatica was reported to have anti-Alzheimer’s disease (AD) activity. However, the responsible chemical constituents of G. asiatica for anti-Alzheimer’s activity have not been explored. Therefore, the present study aimed to investigate hit compounds through an in silico approach. The reported phytoconstituents were initially screened through auto dock software. Then, the lead compound was further evaluated through molecular dynamic studies. Further hit compound isorhoifolin physicochemical and ADMET properties were analyzed. In docking studies, isorhoifolin showed the least binding energy and well resided at the active sites of AchE (-10.9 kcal/mol), BACE1 (-10.2 kcal/mol), GSK-3 (-9.7 kcal/mol), TACE1 (-9 kcal/mol). Further molecular dynamic simulation revealed that isorhoifolin is stable up to 200 ns. Furthermore, density functional theory (DFT) was analyzed using Gaussian software, where the quantum mechanics objective was focused. Besides, the physicochemical properties of isorhoifolin were studied, such as absorption, distribution, metabolism, excretion, and toxicity, through the pkcsm software. The study suggests isorhoifolin from the Gmelina asiatica plant may be responsible for anti-Alzheimer's activity, which may be considered for further investigation.
Cash Transfers and After-School Programs: A Randomized Controlled Trial for Young Men at Risk of Violence Exposure in Wilmington, Delaware
Authors: Stacy Christina , Teles Daniel , Gonzelez Jorge , Walker Fay , Morgan Anna , Huettner Steven , Matson Pamela A. 
Published: October 2023

Abstract

We conducted a randomized controlled trial to determine whether an after-school program paired with a cash transfer (a conditional cash transfer) or a cash transfer alone (an unconditional cash transfer) can help improve health and economic outcomes for young men between the ages of 14 and 17 whose parents have low-incomes and who live in neighborhoods with high crime rates. We find that receiving the cash transfer alone led to an increase in healthy behaviors (one of our primary outcome composite measures) and that the cash transfer paired with after school programming improved the financial health of participants (one of our secondary outcome composite measures). We find no differences in spending on alcohol, marijuana, cigarettes, or other drugs between either treatment group and the control group. Neither the cash transfer alone nor the programming plus cash transfer had statistically significant effects on our other primary composite measures (physical and mental health or school attendance and disciplinary actions), or our other secondary composite measures (criminal justice engagement or social supports) but in most cases, confidence intervals were too large to rule out meaningful effects. Results suggest that cash transfers hold promise to improve the health of youth without any indication of any adverse effects.
The vertical mobility of the first tarsometatarsal joint during demi-plié with forced turnout in ballet dancers
Authors: Ishihara Honoka , Maeda Noriaki , Komiya Makoto , Tashiro Tsubasa , Tsutsumi Shogo , Arima Satoshi , Kawai Miki , Tamura Yuki , Ikuta Yasunari , Urabe Yukio 
Published: October 2023

Abstract
The forced turnout has a perceived risk of the development of hallux valgus (HV) in ballet dancers. We determined how the forced turnout affects the sagittal mobility of the first tarsometatarsal (TMT) joint, which is one of the pathogenic factors of HV development. Seventeen female ballet dancers were included and performed demi-plié in three conditions; control, functional turnout, and forced turnout. Ultrasound imaging synchronized with a three-dimensional motion analysis system was used for measuring the vertical locations of the first metatarsal and medial cuneiform (MC) to evaluate the first TMT joint mobility. Plantar displacement of MC and the first TMT joint mobility in the forced turnout was the greatest among the 3 conditions. Multiple regression analysis showed that the extent of the forcing angle was associated with the displacement of MC and the first TMT joint mobility. Evaluating the sagittal mobility of the first TMT joint in the forced turnout can assist in understanding the association between inappropriate techniques including the forced turnout and HV development in ballet dancers. Since the excessive mobility of the first TMT joint is one of the factors of HV development, the acquirement of adequate active turnout may have the potential to prevent HV development in ballet dancers.
Expression and Prognostic Significance of the m6A RNA Methylation Regulator HNRNPC in HNSCC
Authors: Zhang Yulin , Wang Yixu , Peng Jilin , Zhao Kun , Li Ling , Zhang Yuan , Zhai Ziyu , Yuan Sijie , Li Shichao , Ye Fanglei , Wang Le 
Published: October 2023

Abstract
Background
N6-methyladenosine (m6A) RNA modification is crucial for tumor development and progression; however, which m6A regulators play a pivotal role in head and neck squamous cell carcinoma (HNSCC) remains ambiguous.
Methods
Utilizing the Cancer Genome Atlas (TCGA) database, the expression levels of m6A regulators in HNSCC were examined, which led to the identification of heterogeneous nuclear ribonucleoprotein C (HNRNPC) as a key gene. Further experiments were performed in patient samples, stable cell lines, and a murine xenograft tumor model.
Results
A reliable survival risk model of m6A was constructed based on the TCGA database, which revealed that HNRNPC had the highest expression. TCGA, Gene Expression Omnibus (GEO), normal and tumor tissue microarrays (TMA), and tumor tissue samples from patients with HNSCC were used to verify the expression of HNRNPC at the mRNA and protein levels. Furthermore, we observed that a high level of HNRNPC expression was closely linked to a poor prognosis among patients with HNSCC. Knockdown of HNRNPC in the HNSCC cell lines HSC-3 and CAL-27 resulted in a significant decrease in proliferation, invasion, and malignant transformation abilities. RNA sequencing (RNA-seq) and methylated RNA immunoprecipitation and sequencing (MeRIP-seq) data revealed that HNRNPC is involved in cell differentiation, cell migration, cell cycle, cell proliferation, and apoptosis. Moreover, we utilized a mouse xenograft model to elucidate that HNRNPC can promote tumorigenesis and progression of HNSCC.
Conclusions HNRNPC
can serve as a valuable predictor of tumor progression and prognosis in patients with HNSCC.
Association of social isolation, loneliness, and their trajectory with incident type 2 diabetes across genetic risk
Authors: Chen Yilin , Xue Huachen , Ai Sizhi , Liu Yaping , Nie Yu , Ai Qi-Yong H. , Zhang Jihui , Liang Yannis Yan 
Published: October 2023

Abstract
Background
Emerging evidence concerning the association of social isolation and loneliness with diabetes risk were inclusive. It remains unknown how social isolation, loneliness, and their change, were associated with the onset of type 2 diabetes. This study aimed to investigate the association of social isolation, loneliness, and their trajectory with the risk of developing type 2 diabetes across genetic risk.
Methods
We included 439,337 participants (mean age 56.3 ± 8.1 years) enrolled in the UK Biobank study who were followed up until May 31, 2021. Social isolation and loneliness were self-reported. In a longitudinal analysis, based on baseline (2006–2010) and follow-up (2012–2020) data, social isolation and loneliness were further categorized into never, transient, incident, and persistent patterns.
Results
During a median follow-up of 12.7 years, 15,258 incident type 2 diabetes cases were documented. Most isolated [vs. least isolated; hazard ratio (HR) 1.09; 95% confidence interval [CI] 1.04–1.14]) and loneliness (vs. no loneliness; 1.21 [1.14–1.29]) were associated with an increased type 2 diabetes risk, independent of the genetic risk for type 2 diabetes. An interaction existed between social isolation and loneliness (P interaction = 0.005); the increased type 2 diabetes risk associated with social isolation was only significant among participants without loneliness. In the longitudinal analysis, only persistent social isolation (vs. never social isolation; 1.21 [1.02–1.44]) was associated with an increased type 2 diabetes risk, whereas incident loneliness (vs. never loneliness; 1.96 [1.40–2.73]) and persistent loneliness (1.65 [1.09–2.52]) were associated with higher type 2 diabetes risks.
Conclusions
Social isolation and loneliness, especially their persistent pattern, were independently associated with an increased incident type 2 diabetes risk, irrespective of an individual’s genetic risk. Loneliness modified the association between social isolation and incident type 2 diabetes.
Assessing the affinity spectrum of the antigen-specific B cell repertoire via ImmunoSpot®
Authors: Becza Noémi , Liu Zhigang , Chepke Jack , Gao Xing-Huang , Lehmann Paul V. , Kirchenbaum Greg A. 
Published: October 2023

Abstract
The affinity distribution of the antigen-specific memory B cell (Bmem) repertoire in the body is a critical variable that defines an individual’s ability to rapidly generate high affinity protective antibody specificities. Detailed measurement of antibody affinity so far has largely been confined to studies of monoclonal antibodies (mAbs), and are laborious, since each individual mAb needs to be evaluated in isolation. Here, we introduce two variants of the B cell ImmunoSpot® assay that are suitable for simultaneously assessing the affinity distribution of hundreds of individual B cells within a test sample, at single-cell resolution, using relatively little labor and with high-throughput capacity. First, we experimentally validated that both ImmunoSpot® assay variants are suitable for establishing functional affinity hierarchies using B cell hybridoma lines as model antibody-secreting cells (ASC), each producing mAb with known affinity for a defined antigen. We then leveraged both ImmunoSpot® variants for characterizing the affinity distribution of SARS-CoV-2 Spike-specific ASC in PBMC following COVID-19 mRNA vaccination. Such ImmunoSpot® assays promise to offer tremendous value for future B cell immune monitoring efforts owing to their ease of implementation, applicability to essentially any antigenic system, economy of PBMC utilization, high-throughput capacity, and suitability for regulated testing.
Beyond global energy density for direct energy deposition: machine learning for modelling and optimizing process parameters
Authors: Brooke Ryan , Qiu Dong , Le Tu , Gibson Mark , Zhang Duyao , Easton Mark 
Published: October 2023

Abstract

Additive manufacturing (AM) has numerous process parameters that lead to significant variation in the success and quality of the manufactured product. The input parameter of ‘global energy distribution’ (GED) is used throughout the literature to describe the input energy onto the surface of a build due to the combination of laser power, laser scanning speed and laser spot size. This paper identifies more accurate modelling using machine learning for the GED constituent process parameters and their influence on the responses of manufacturing layer height, relative density and grain size on the build. The layer height was best modelled using an artificial neural network (ANN) which produced an R2 value of 0.97 and a root mean square error (RMSE) over the data set of 0.03mm. An accurate prediction model was produced to aid manufacturers in setting the ‘layer height’ user parameter. The relative density was best modelled using multi linear regression (MLR) and produced an R2 of 0.73 and a RMSE of 0.66%. The grain size was best modelled using an ANN and produced an R2 of 0.85 and RMSE of 9.68µm. These models show why reproducibility is difficult when considering GED singularly, as each of the constituent parameters influence these individual responses to varying magnitudes. The methodology presented should aid industrial users with resource efficient process parameter response modelling with application in process/product optimization.
Economic impact of chicken diseases and other causes of morbidity or mortality in backyard farms in low-income and middle-income countries: A systematic review and meta-analysis
Authors: Munoz-Gomez Violeta , Shaw Alexandra PM , Abdykerimov Kuban , Abo-Shebada Mahmoud , Bulbuli Faraz , Charypkhan Duriya , Delphino Marina , Leger Anais , Li Yin , Rasmussen Philip , Rittem Sukuman , Ahmadi Bouda Vosough , Torgerson Paul R 
Published: October 2023

Abstract
Background: Backyard chicken farming is usually subsistence and predominates in low-income countries and, to a lesser extent, in middle-income countries. Chicken flocks are generally raised by households in a low-input, low-output system in contact with other flocks, livestock and wildlife. This low biosecurity setting predisposes chickens to diseases and injuries. A systematic review was conducted to assess the impact of diseases and other causes of mortality in backyard chickens from low and middle-income countries.
Results: Out of the 40,121 studies identified, 78 studies were selected. Only a limited number of studies (n=7) assessed productivity impact (weight and egg production losses). Results from the meta-analyses showed that the three main causes of mortality in a production cycle are viral diseases (24.5%, 12.4-42.7), the mix of bacterial and viral diseases (24.2%, 6.2-58.2) and bacterial diseases (11.2%, 4.6-25.0). These three mortality causes also account for the highest proportion of the economic losses for infectious diseases. In the case of non-infectious causes, predation and cachexia are responsible for the highest economic losses in backyard chickens.
Conclusions: Infectious diseases account for the highest economic and mortality losses examined in the selected studies. However, losses due to other causes, such as predation should not be overlooked. These results could be used to support animal health policy in informing resource allocation to preventive measures to enhance food security.
A fine tune hyper parameter Gradient Boosting model for CPU utilization prediction in cloud
Authors: Khurana Savita , Sharma Gaurav , Sharma Bhawna 
Published: October 2023

AbstractCPU utilization prediction is key factor for efficient resource management and capacity planning in cloud computing environments. By accurately predicting utilization patterns, resource managers can dynamically distribute workloads to ensure optimal utilization of resources. The load can be equally distributed among virtual machines, leading to a reduction in VM migration and overhead time. This optimization significantly improves the overall performance of the cloud. This proactive approach enables efficient resource usage, minimizing the risk of bottlenecks and maximizing overall system performance. In this paper a Gradient Boosting model with hyper parameter tuning based upon grid search (GBHT) is proposed to enhance CPU utilization prediction. Multiple weak learners are combined in the proposed model to produce a powerful prediction model. and hyperparameters tuning is used to enhance its performance as well as predictive accuracy. Different machine learning and deep learning models are examined side by side. The results clearly demonstrate that the proposed GBHT model significantly contribute superior performance then the traditional machine learning models (SVM, KNN, Random Forest, Gradient Boost), deep learning models (LSTM, RNN, CNN), time series model (Facebook Prophet) and as well as the hybrid models, combining LSTM with Gradient Boost and Gradient Boost with SVM. The proposed model demonstrates superior performance compared to the other models, achieving the lowest MAPE of 0.01% and high accuracy with an R2 score of 1.00.
Diagnostic markers for foliar fungal disease resistance and high oleic acid in groundnut
Authors: Pandey Manish K. , Gangurde Sunil S. , Shasidhar Yaduru , Sharma Vinay , Kale Sandip M. , Khan Aamir W. , Shah Priya , Joshi Pushpesh , Bhat Ramesh , Janila Pasupuleti , Bera Sandip K. , Varshney Rajeev K. 
Published: October 2023

Abstract
Resistance two foliar fungal diseases (rust and late leaf spot) are farmers preferred traits because of their devastating nature, while high oleic acid content has immerged as one of the important industry and consumer preferred traits due to increased shelf life and health benefits. With an objective to increase the frequency of the favorable alleles for these three important traits among parental lines and breeding populations, we have identified candidate resistance genes for two diseases and developed diagnostic markers for all three traits followed by validating and deploying them in forward breeding or marker-assisted early generation selection (MEGS). A total of 49 KASPs were developed using sequencing-based trait mapping approaches with diploid as well as tetraploid groundnut reference genomes. Of the 49 KASPs markers, 41 KASPs were validated successfully on a validation panel of contrasting germplasm and breeding lines. Of the 41 validated KASPs, 39 KASPs are for rust and LLS, while two KASPs are for high oleic acid developed from A- and B- sub-genomes. The KASP markers were developed from genomic regions of important disease resistance genes such as NBS-LRR, purple acid phosphatase, pentatricopeptide repeat-containing protein, Serine/threonine-protein phosphatase. So far, these KASP markers have been extensively used by various groundnut breeding programs across the world, offering low-cost and high-throughput genotyping. Overall, employing these KASP markers will likely facilitate the effective selection favorable alleles from parental lines and breeding populations with higher resistance to foliar fungal diseases and increased levels of high oleic acid content, consequently resulting in improved groundnut crop production and quality.
Comparison of economic benefits for the utilization of reclaimed resources from wastewater treatment plants: a case study in Beijing
Authors: Hu Yongfeng , Zhang Yongxiang , Wang Kun 
Published: October 2023

Abstract

The fate of resource recovery is significantly influenced by the standards of water quality and bio-dried excess sludge for various applications. These standards must be practically attainable while ensuring public and environmental health, safety, and economic advantages. The present study investigates a reclaimed wastewater treatment plant (WWTP) in Beijing that incorporates both reclaimed water utilization facility and bio-dried excess sludge treatment. The study elucidates the standards for reclaimed water quality and bio-dried excess sludge for diverse applications. Notably, reclaimed water demonstrates substantial market demand in terms of economic benefits. However, bio-dried excess faces challenges due to higher operational costs and lower TP content. The heat power of the WWTP effluent water source can not only be harnessed for the bio-drying process blowers but also be elevated air temperatures to expedite the bio-drying process.
Исследование факторов риска, способствующих нарушению психологической безопасности у мирного населения прифронтовых территорий
Authors: Колобова Светлана В. , Ичитовкина Елена Г. 
Published: October 2023

Актуальность данной работы заключается в том, что в ситуации вооруженного конфликта жители прифронтовых территорий оказываются в положении политической нестабильности, что несет угрозу нарушения их психологической безопасности, которая, в свою очередь, может повлечь состояние стресса и нарушение всех аспектов здоровья личности. В данной работе под психологической безопасностью мы понимаем состояние личности, имеющее личностный и ситуативный уровень проявления, формирование которого обусловлено развитием человека в онтогенезе, находится под воздействием факторов внешней среды, внутриличностных паттернов и выраженное в устойчивости, сопротивляемости негативным воздействиям, в эффективности и активности деятельности и восприятии собственной защищенности. В данной статье представлено исследование факторов риска, способствующих нарушению психологической безопасности у мирного населения прифронтовых территорий, а также проведен сравнительный анализ уровня нервно-психической адаптации у жителей регионов, территориально приближенных к зоне ведения боевых действий, и жителей Москвы и Московской области. В результате исследования было выявлено, что у жителей прифронтовых территорий выраженность проблемно-ориентированного копинга, эмоционально-ориентированного копинга, копинга, ориентированного на избегание, существенно выше, чем у жителей Москвы и Московской области. Кроме того, показатели субшкалы «Отвлечение» и «Социальное отвлечение» также значимо выше у мирных жителей, проживающих в близости ведения боевых действий, учитывая, что уровень нервно-психической адаптации в обеих группах отличается не значимо и соответствует норме. Новизна исследования заключается в том, что впервые исследованы факторы нарушения психологической безопасности мирных жителей, проживающих на территориях, приближенных к зоне ведения специальной военной операции.