bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: Identification and validation of aging-related genes and their classification models based on myelodysplastic syndromes
Authors: Gu Xiao-Li , Ling Zhi-Ming , Yu Li , Du Yu , Yang Xiu-Peng , xu yonggang 
Published: May 2023

Abstract
Background Myelodysplastic syndrome is a malignant clonal disorder of hematopoietic stem cells (HSC) with both myelodysplastic problems and hematopoietic disorders. The greatest risk factor for the development of MDS is advanced age, and aging causes dysregulation and decreased function of the immune and hematopoietic systems. However, the mechanisms by which this occurs remain to be explored. Therefore, we would like to explore the association between MDS and aging genes through a classification model and use bioinformatics analysis tools to explore the relationship between MDS aging subtypes and the immune microenvironment.Methods The dataset of MDS in the paper was obtained from the GEO database and aging-related genes were taken from HAGR. specific genes were screened by three machine learning algorithms. Then, artificial neural network (ANN) models and Nomogram models were developed to validate the effectiveness of the methods by subject operating characteristic (ROC) and decision curve analysis (DCA). Finally, aging subtypes were established and the correlation between MDS and immune microenvironment was analyzed using bioinformatics analysis tools. Weighted correlation network analysis (WGCNA) and single cell analysis were also added to validate the consistency of the result analysis.Results Seven core genes associated with ARG were screened by differential analysis, enrichment analysis and machine learning algorithms for accurate diagnosis of MDS. subsequently, two subtypes of senescent expression were identified based on ARG, illustrating that different subtypes have different biological and immune functions. And the cell clustering results obtained from manual annotation were validated using single cell analysis.Discussion Our findings emphasize the crucial role of senescence-related genes in the regulation of the immunological microenvironment. Seven hub ARGs (FOS,IKBKB,HDAC3,JUN,PTK2B,CEBPA,BAX) create a categorization model, and the findings demonstrate a key role of senescence in the immunological milieu of MDS, giving new insights into MDS pathogenesis and potential treatments. The findings show that agingplays an important function in the immunological microenvironment of MDS, giving new insights into the pathogenesis of MDS and possible immunotherapy.
Identification and physiological activity of (methoxymethyl)triphenylphosphonium chloride as a new phytotoxin isolated from Rhizoctonia solani AG-3 TB
Authors: Li Xinchun , Hou Huihui , Li Bin , Guo Shiping , Jiang Lianqiang , Xu Chuantao , Xie Yunbo , An Mengnan , Zhang Chong , Wu Yuanhua 
Published: May 2023

Abstract
Rhizoctonia solani as a cosmopolitan fungus is the causative agent of many crop diseases and leads to significant economic losses in crop production. To explore the toxin structure and its physiological activity of R. solani AG-3 TB, high performance liquid chromatography (HPLC), infrared absorption spectrum (IR) and nuclear magnetic resonance spectrum (NMR) were required. Here, the compound (methoxymethyl)triphenylphosphonium chloride (MMC) with the molecular formula C20H20ClOP was purified and identified from R. solani AG-3 TB. The pure compound MMC treated at 20 µg/mL, 50 µg/mL, and 100 µg/mL can cause obviously necrosis on leaves, increase active oxygen species (AOS), decrease chlorophyll content, and damage cellular structure. The results enrich the understanding of toxin compounds for R. solani as well as provide valuable insights for toxicology of R. solani AG-3 TB.
Design-driven Regional Industry Transformation and Upgrading under the Perspective of Sustainable Development: The Case of Huaihua City, China
Authors: You Lisi , Ji Tie , Shao Binbin , Wu Xiaojing , Shi Lei , Zhao Yunyan 
Published: May 2023

Abstract
Based on the sustainability, synergy, and systemic nature of design research, this study combines the relevant theories and methods of economics and ecology to explore design-driven transformation and upgrade paths for the sustainable development of regional industries in the context of sustainable transformation. First, the regional industrial base determines the upgrade path for sustainable transformation so that the assessment can be regarded as a prerequisite for transformation. This study uses the city of Huaihua (a prefecture-level city in Hunan Province, China) as a case study. The regional industrial base is assessed by measuring the ecological footprint, human development index, and ecological welfare performance in Huaihua City. Secondly, a mechanism for selecting leading regional industries based on quantitative data criteria was established using hierarchical analysis. As an interdisciplinary, collaborative, and systematic research method, the design study has positive implications for developing leading regional industries from the perspective of sustainable transformation. Meanwhile, as a representative region of the less developed central and western China, Huaihua City provides a theoretical basis and quantitative measurement criteria for the sustainable transformation of regional industries in the vast central and western China by designing its sustainable industrial transformation and upgrading path.
The clinical effectiveness of tolvaptan in critically ill patients with or without heart disease: A retrospective observational study
Authors: Yamazaki Yuma , Niwa Hidetomo , Ishiyama Erina , Hori Mirei , Sugo Yuki , Hirota Kazuyoshi 
Published: May 2023

Abstract
Background
Strategies that achieve sufficient diuresis for critically ill patients are needed. Tolvaptan, a selective arginine vasopressin 2 receptor antagonist, has increased cardiac patients' urine volume without worsening their renal function, and we speculated that tolvaptan treatment may also do so in critically ill non-cardiac patients. Here, we sought to determine whether tolvaptan treatment provided sufficient diuresis in critically ill patients including those with and without cardiac disease, without increasing their serum creatine (sCr).
Patients and Methods
We retrospectively analyzed our institution's clinical data of critically ill adult patients (n = 477) with and without cardiac disease and with an ICU stay ≥ 4 days between 2019 and 2020. We used a logistic regression model to estimate the independent predictors of critically ill patients with sufficient diuresis (which we defined as a diuretic ratio [maximal – minimal urine values]/minimal value ≥ 1), associated with seven potential confounders including tolvaptan use. We also estimated the effect of tolvaptan on time-course changes in sCr by applying a generalized estimating equation model with nine potential confounders. Each outcome was analyzed in each cohort (i.e. all patients, those with cardiac disease, and those without cardiac disease).
Results
Tolvaptan use was a significant independent predictor of patients with a diuretic ratio ≥ 1 in each cohort (odds ratio [95%CI], all patients: 2.36 [1.5–3.7], p < 0.001, cardiac patients: 2.26 [1.33–3.84], p = 0.003; non-cardiac patients: 2.63 [1.11–6.22], p = 0.0028), but it was not significantly associated with time-course changes in the sCr (beta estimator [95%CI], all patients: 0.044 [− 0.026 to 0.114], p = 0.22, cardiac patients: 0.012 [− 0.077 to 0.10], p = 0.80, non-cardiac patients: 0.085 [− 0.027, 0.20], p = 0.14).
Conclusions
Tolvaptan treatment increased the urine volume without changing sCr in critically ill adults with and without cardiac disease.
Trial registration
Not applicable.
Dosimetric study of line scanning for prostate cancer in comparison with passive scattering and volumetric modulated arc therapy
Authors: Takagi Masaru , Hasegawa Yasuhiro , Tateoka Kunihiko , Takada Yu , Hareyama Masato 
Published: May 2023

Abstract
Purpose
We performed a planning study to compare the dose distribution of the line scanning (LS) method with that of passive scattering (PS) method and volumetric modulated arc therapy (VMAT) for patients with localized prostate cancer.
Methods
Thirty patients treated in 2017–2019 were randomly selected. The dose constraints were the clinical target volume (CTV) D98 ≥ 73.0 Gy (RBE), rectal wall V65 < 17% and V40 < 35%, and bladder wall V65 < 25% and V40 < 50%. The CTV doses and rectal and bladder wall dose volumes were calculated and evaluated using the Freidman test. P < 0.05 was determined to be statistically significant.
Results
In all patients, the LS technique satisfied the dose restrictions for the CTV, rectal wall, and bladder wall. Ten (33.3%) and 21 (70.0%) patients using the PS method and five (16.7%) and one (3.3%) patients using the VMAT, respectively, failed to meet the requirements for the rectal and bladder walls. Wide ranges of the rectal and bladder wall volumes of V10–V70 were lower with LS than with PS and VMAT. LS was superior to VMAT in all dose-volume rectal and bladder wall indexes. PS outperformed the other two methods at Dmax.
Conclusion
Compared with PS and VMAT, the LS method enables further reduction of the rectal and bladder doses while maintaining the CTV dose. Our results suggest that proton therapy for patients with localized prostate cancer could lower gastrointestinal and genitourinary toxicities by changing from PS to LS.
Unravelling the role of adenosine A1 receptors (A1R) in toll like receptor-4 mediated neuroinflammation during sleep deprivation and recovery sleep
Authors: THONDALA BHANUTEJA , CHAUHAN GARIMA , PAWAR HARSH , RAY KOUSHIK , SHARMA MONIKA , YADAV NEHA , KUMAR SANJEEV , KISHORE KRISHNA , PANJWANI USHA 
Published: May 2023

Abstract
Background:
Sleep is an indispensable phenomenon in almost every organism’s life. Sleep deprivation (SD) caused by professional demands or lifestyle causing low grade neuroinflammation resulting in physiological and cognitive deficits. However, the impact of neuroinflammation on hippocampal circuitry during sleep deprivation is well-documented, but the temporal events triggering neuroinflammation during SD in the dorsal hippocampus and its effects on fear extinction memory requires further investigation.
Objectives:
We sought to examine the effect of SD on extinction memory recall and its underlying neuroinflammatory cascades in the hippocampus. We delineated the effect of Adenosine A1 receptor antagonism on TLR4 mediated neuroinflammation elicited by SD and attempted to study the effect of SD on synaptic plasticity, adult neurogenesis, apoptosis, and neuroinflammation in order to understand behavioral deficits.
Methods:
An automated customized sleep deprivation system with somatosensory stimulation was used to deprive male Sprague Dawley rats of sleep for 48 hours. Adenosine A1 receptor (A1R) antagonist [8-cyclopentyltheophylline (CPT), 12mg/kg/day, i.p.] was administered during SD and brain samples were processed for molecular analysis. Sleep architecture was recorded during baseline, SD, SD+CPT and 24h rebound sleep.
Results:
SD of 48h after extinction training induced deficits in fear extinction memory recall with a reduction in synaptic plasticity markers PSD95 (p<0.01) and Synaptophysin (p<0.01). Escalation of neuroinflammatory cytokines levels like TNFα, Nf-κB, IL-6 and activation of glial cells was observed in the hippocampal niche. Additionally, an elevation of TLR4 expression in activated microglial cells was evident after 48h SD. These results point to the involvement of A1R receptor in sleep quality, fear extinction memory recall, synaptic plasticity via blunting neuroinflammation and apoptosis in the hippocampus. There was an increase in percent alpha and delta powers in NREM and REM sleep during rebound sleep. After A1R antagonist was administered, percent of NREM, REM sleep stages and delta, theta power during sleep deprivation decreased significantly and did not increase during rebound sleep in comparison to baseline sleep.
Conclusion:
Our investigation elucidates the role of TLR4 signaling in activated microglia, which disrupts memory recall and neurogenesis. Additionally, we observed that A1R activity modulates TLR4-mediated neuroinflammation triggered by sleep deprivation, suggesting that A1Rs could represent a promising target for regulating memory impairment. Furthermore, we posit that A1Rs regulate REM sleep during sleep deprivation and govern recovery sleep architecture followed by SD.
Development of Gas Pressure Monitoring System Based on Internet of Things (IoT)
Authors: Prasetia Frabowo 
Published: May 2023

Abstract
LPG (Liquified Petroleum Gas) gas has a positive impact on burning gas cleaners and reduces air pollutant levels, while the negative impact is that it is more flammable in the air with high pressure. The Internet of Things (IoT) is a technology whose goal is to integrate devices into the Internet. Many previous studies have been carried out as an example on blood volume, blood pressure, and pulse monitoring devices which aim to select blood donors based on blood pressure and blood volume with external storage. The existence of an analog manometer measuring device is part of a conventional needle panel pressure measurement which could have an error in measuring the pressure. The need to use a digital manometer to properly prove gas pressure. This digital manometer can provide more accurate and detailed gas pressure information through the LCD display.
Prevalence of urinary stones in an urban population in Chile
Authors: Real Octavio Del , Arzeno Lucas , Barría Sara , Eltit Ignacio , Acuña José Ignacio , Telayna Francisco , Hassi Mario , Domínguez Raimundo , Vergara Gonzalo , Soto Guillermo , Plaza Carlos 
Published: May 2023

Abstract
Introduction: Urinary stone disease (USD) prevalence is highly variable worldwide, from 2.5 to 20%. This research aims to describe the prevalence and characteristics of USD in an urban population in Chile.
Methods: retrospective descriptive research based on abdominal computed tomography (CT) registries done at our hospital, between 2019 and 2020. We selected people 15 years old and older. Sample size was calculated and patients were randomly selected. Our primary outcome is to describe the characteristics of kidney stones (KS) in this population. Secondary outcomes are the prevalence of ureterolithiasis and cystolithiasis.
Results: 1,001 CT were randomly reviewed. Kidney stones were detected in 144 patients, 75 females (52.1%) and 69 males (47.9%). The estimated prevalence of nephrolithiasis was 14.4% (95%CI 12.3 - 16.7); among women was 12.7% (95%CI 10.2 - 15.8) compared to 16.7% (95%CI 13.2 - 20.6) in men. The mean age was 56.6 years old (SD 15.5). The mean number of KS per patient was 2.5, the mode was 1 KS per patient. The mean radiodensity of KS was 501 HU (SD 345.9). The mean largest diameter was 10.9 mm (SD 16.8), and the mean volume was 154.0 mm3 (SD 1,544.1). Related to KS size, 101 cases (70.1%) were 10 mm or less, 18 (12.5%) between 11 to 20 mm and 25 (17.4%) larger than 20mm. Ureterolithiasis was present in 33 cases (3.3%) and cystolithiasis in 5 patients (0.5%).
Conclusions: KS is a prevalent disease in our population, more frequent in men than women and affecting working-age people.
Satisfaction Rate of the Families of Patients Hospitalized in Intensive Care Unit with the Quality of Care: A Cross-Sectional Descriptive Study
Authors: Kalhor Leila , Nehrir Batool , Abbas Ebadi , Nouri Jamileh Mokhtari 
Published: May 2023

Abstract
Background Satisfaction of patients and their families is a major indicator of healthcare quality improvement. This study aimed to investigate the satisfaction of the families of the hospitalized patients and its relationship with the demographic variables of the patient and family in the intensive care unit.Methods This cross-sectional descriptive study was conducted in 2022 with the participation of 500 family members of patients hospitalized in the intensive care unit of four hospitals of Tehran. Data was collected via the completion of the modified FS-ICU24 questionnaire by a family member on third day of the patients hospitalization. Stepwise multiple regression was used to investigate the demographic factors influencing the satisfaction of the patients families.Results Families’ level of satisfaction was good with the quality of care in the intensive care unit (71%). Families were the least satisfied with meeting religious needs with an average of 3.07 (.86) and the most satisfied with respect to the patient with an average of 3.37 (.65). Also, the history of the patient’s hospitalization in the intensive care unit (P < .001), number of visits to the unit (P < .001) and the relationship with the patient (P = .024) were significantly related to family satisfaction.Conclusion There has not been enough attention to spiritual, religious, educational needs and communication with the families of patients hospitalized in the intensive care unit. Therefore, appropriate interventions are recommended to enhance satisfaction.
Towards a Scalable Proof Engine: A Performant Prototype Rewriting Primitive for Coq
Authors: Gross Jason , Erbsen Andres , Philipoom Jade , Agrawal Rajashree , Chlipala Adam 
Published: May 2023

Abstract

We address the challenges of scaling verification efforts to match the increasing complexity and size of systems. We propose a research agenda aimed at building a performant proof engine by studying the asymptotic performance of proof engines and redesigning their building blocks. As a case study, we explore equational rewriting and introduce a novel prototype proof engine building block for rewriting in Coq, utilizing proof by reflection for enhanced performance.
Our prototype implementation can significantly improve the development of verified compilers, as demonstrated in a case study with the Fiat Cryptography toolchain. The resulting extracted command-line compiler is about 1000× faster while featuring simpler compiler-specific proofs. This work lays some foundation for scaling verification efforts and contributes to the broader goal of developing a proof engine with good asymptotic performance, ultimately aimed at enabling the verification of larger and more complex systems.
An Adaptive Model to Reach Optimum Resources Utilization in Financial Market
Authors: Mohamed Amr Gamal , Shaaban E M , Abd-Elwaha Ahmed 
Published: May 2023

Abstract
A digital transformation which impact on business it going to be great from cooperate between cloud computing technologies and microservices applications impact of this assist digital transformation is the integration of technologies into all sectors of a business and can be implemented with all types of business. In this paper, we going to design an adaptive model to reach optimum resources utilization resources dynamical allocation and management is always an important feature in cloud computing which auto scale allows users to scale their cloud resources capacity according to business needs. Used experimental results to describe performance and differences between them These experimental results show the performance on market which have infrastructure setup and the graph below show read write performance this assist stockholders in business strategy in decisions scale in and scale out this strategy based on facts and that recommend suitable decision for business which help business to grow up and minimize cost without waste resources.
A Novel Prognostic Model for DLBCL Patients Based on Cuproptosis-related Genes
Authors: li fu , cai jiao , li jiali , rao jun , dong song , lin shijia , xiang xixi , Zhang Xi , Gao Li 
Published: May 2023

Abstract
Background: The current classification system for diffuse large B-cell lymphoma (DLBCL) cannot fully explain the prognostic differences of DLBCL patients. Cuproptosis is a newly discovered programmed cell death which depends on copper ions. In this study, a prognostic model based on cuproptosis-related genes was constructed using the public database.
Methods and materials: COX regression analysis was performed on training set-GSE31312 to construct a prognostic model based on cuproptosis-related genes, and the validation set-GSE181063 was used to verify the prognostic model. GSEA was used to explore the underlying mechanism of the difference in the prognosis of DLBCL patients. Finally, molecular docking was used to screen for compounds that may act on cuproptosis-related genes.
Results: A prognostic model based on 5 cuproptosis-related genes was constructed (CDKN2A × 1.547905713 - DLAT × 2.241073725 - DLD × 1.907442964 - LIPT1 × 2.689158994 - MTF1 × 2.069682266) from training set-GSE31312. According to this model, DLBCL patients were divided into high-risk and low-risk groups. The survival time of high-risk patients was significantly shorter than that of the low-risk group (p = 2.636 × 10-7). In the validation set GSE181063, the survival time of the high-risk group was also shorter than low-risk group (p=2.462×10-03). Among the 5 cuproptosis-related genes, only CDKN2A played a tumorigenesis effect. Finally, three small molecule compounds with the lowest binding energy of CDKN2A were found by virtual docking: Irinotecan, Lumacaftor and Nilotinib, which may be used as potential targeted drugs.
Conclusion: A prognostic model based on 5 cuproptosis-related genes was constructed, and 3 potential targeted inhibitors of CDKN2A were screened out by molecular docking.
METTL3-mediated m6A RNA methylation was involved in aluminum-induced neurotoxicity
Authors: Yang Lingling , Chen Liping , Li Wenxue , Zhang Yan , Yang Guangyu , Huang Bing , Cen Yufang , Wang Huiqi , Yang Xueqin , Lin Fangqin , Pang Yaqin , Qi Guangzi 
Published: May 2023

Abstract

Aluminum (Al) exposure has been linked to the development of a variety of neurodegenerative diseases. However, whether m6A RNA methylation participated in in Al-induced neurotoxicity remain to be defined. In this study, mice were administrated with aluminum-lactate at dose of 220 mg/kg. bw by gavage for 3 months. Meanwhile, the primary hippocampal neurons were isolated and treated with 0, 50, 100, 150 μM aluminum-lactate, respectively for 7 days. Al exposure caused neuronal shrinkage, decreased Nissl bodies, and increased apoptosis. In accordance, in vitro studies also showed that Alexposure led to neuronal apoptosis in a dose-dependent manner,together with the decline in m6A RNA methylation levels. Moreover, the expression of Mettl3, Mettl14, Fto, and Ythdf2 were decreased upon Al exposure. Notably, METTL3 was dramatically down-regulated by 42% and 35% in Al-treated mice and neurons, suggesting METTL3 might exert a crucial role in Al-induced neurotoxicity. We next established a mouse model with hippocampus-specific overexpressing of Mettl3gene to confirm the regulatory role of RNA methylation and found that METTL3 overexpression relieved the neurological injury induced by Al. The integrated MeRIP-seq and RNA-seq analysis elucidated that 567 genes were differentially expressed at both m6A RNA methylation and mRNA expression. Notably, EGFR tyrosine kinase inhibitor resistance, Rap1 signaling pathway, protein digestion and absorption might be involved in aluminum-induced neurotoxicity. Moreover, VEGFA, Thbs1, and PDGFB might be the central molecules.Collectively, our findings provide the novel sight into the role of m6A RNA methylation in neurodegenerative disease induced by Aluminum.