bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of neostigmine antagonizing non-depolarizing muscle relaxants on postoperative pulmonary complications in patients after lobectomy：a retrospective cohort study
Authors: Shang Ziqi , Weng Yan , Chen Yong , Dai Wei , Zhang Hua , Zhong Qing 
Published: February 2024

Abstract

Objective
To investigate the effect of neostigmine, which was used to antagonistic muscle relaxant, on the incidence of postoperative pulmonary complications (PPCs) in patients with lobectomy.
Methods
This is a retrospective cohort study using electronic medical information and telephone followed-up information of patients who admitted in the thoracic surgery department, the People’s Hospital of Jianyang from Jun 2021 to May 2022. All patients were divided into 2 groups according to whether PPCs occurred or not: Neostigmine antagonists (NEO group) and non-Neostigmine antagonists (N group). The outcomes of the two groups were compared with the T-test, Mann-Whitney U test and Pearson Chi-square test.
Results
A total of 227 patients were analyzed, there was no significant difference in baseline data between the two groups (P > 0.05); the incidence of PPCs during postoperative hospitalization was significantly different between the two groups (𝛘2 = 4.143, P = 0.042 < 0.05); 30 days after discharge, there was no significant difference in the incidence of PPCs between the two groups (𝛘2, 0.715, P = 0.398 > 0.05); there was no significant difference in the length of hospital stay between the two groups (Wilcoxon rank sum test, Z = 0.411, P = 0.681 > 0.05);there was no significant difference between the two groups (F = 0.404, P = 0.668 > 0.05) of Steward scores at 10min (T1), 30min (T2) and 60min (T3) after tracheal catheter removal; there was no significant difference in PACU residence time between the two groups (Z = 0.954, P = 0.340 > 0.05).
Conclusions
In patients with elective lobectomy, the postoperative choice of neostigmine for muscle loosening antagonism can reduce the incidence of PPCs during postoperative hospitalization, but it has no effect on the incidence of PPCs within 30 days after surgery.
Extraction of Cynaroside from Honeysuckle by Nonionic Surfactant-mediated Aqueous Extraction with Cloud Point Enrichment and Purification by Metal Complexation
Authors: Zhu Wen , Zhao Xiuhua , Tang Cuiman , Wang Bin , Lv Yue , Liu Jialin , Sun Chaofan , Zu Yuangang 
Published: February 2024

Abstract

Honeysuckle is rich in cynaroside (Cy), but its extraction and purification are difficult due to its poor solubility in water. Therefore, nonionic surfactants were used to extract Cy from honeysuckle plants, enabling the formation of micelles that solubilized Cy in aqueous solution. The effects of temperature, extraction time, surfactant concentration, and the solid-liquid ratio on the extraction rate of Cy were investigated to determine the optimal extraction conditions. The cloud point effect of the optimal nonionic surfactant was exploited to separate the extracting solution into two distinct phases, which resulted in the concentration of Cy into the up phase. The phase containing the extracted Cy was then purified by metal complexation after phase separation using CaCl2 followed by EDTA, resulting in a purity of Cy of 93.7%. Surfactants have high biological safety, making the extraction process safer and more environmentally friendly. As a result, the process developed in this study enabled the efficient and environmentally friendly extraction of Cy from plants, which has potential value in the production of various medicines and health products containing natural botanicals, such as Cy.
Interpersonal adjustment and depression in college students: mediation of core self-evaluation and moderating effects of gender
Authors: Ma Siqi 
Published: February 2024

Abstract

Background With the high incidence of college student suicides due to depression, it is critical to understand the factors that influence depression in college students. This study addresses the interconnected relationships among interpersonal adjustment, depression, core self-evaluation and gender among college students.
Objectives This study aims is to explore how college students’ interpersonal adjustment is to influence and provide due insights for effective interventions for college students’ depression.
Methodology We used the Interpersonal Adjustment Scale for College Students, Center for Epidemiological Studies Depression Scales, and the Core Self-Evaluation Scale, and recruited 1920 college students to fill out the questionnaire, and finally obtained 1748 valid participants.
Results The results showed that college students’ interpersonal adjustment and core self-evaluation negatively predicted depression, and core self-evaluation mediated the relationship between college students’ interpersonal adjustment and depression. While gender moderated the relationship between college students’ interpersonal adjustment and core self-evaluation.
Conclusions and implications Interpersonal adjustment and core self-evaluation can serve as significant predictors of depression in college students. Moreover, interpersonal adjustment has a significantly higher effect on depression among female college students than male college students. Based on the results of the study, we proposes to enhance the college students’ interpersonal and core self-evaluation adaptability to cope with the problem of college students’ depression, and we should pay more attention to female college students.
Determination of Precise Galileo and Sentinel-6A Orbits through the Integration of GNSS and SLR Data
Authors: Jiang Weiping , Cui Zilu , Chen Hua , Zhou Xingyu , Liu Tianjun , Li Zhao 
Published: February 2024

Abstract
Both Galileo and Sentinel-6A satellites are equipped with GNSS and SLR observation capabilities, which shows the potential to improve the orbits by combining both GNSS and SLR data. In this study, Galileo and Sentinel-6A satellites reduced dynamic orbits were determined by integrating GNSS and SLR data at the observation level, where two weighting strategies and the impact of SLR data on the final orbits were assessed. Data over 300 days were adopted in the experiments. It is found that the 3D RMS between dynamic and kinematic orbits for Sentinel-6A during the satellite maneuvers on DOY 173 is reduced by 10\%, which indicate the SLR data could bring a significant improvement to the dynamic Sentinel-6A orbits when satellite maneuvers. Moreover, in comparison to GNSS-only solutions, the adoption of the dynamic weighting strategy during orbital maneuvers has demonstrated a decrease in SLR residuals STD values by 9\% to 46\%. The results also show that introducing the SLR data can lead to a reduction of approximately 5\% in the averaged overlapping RMS for Galileo satellites. Nonetheless, the integration of SLR observations could enhance the accuracy and reliability of both Galileo and Sentinel-6A orbits, especially during orbital maneuvers.
Comparing methods for risk prediction of multicategory outcomes: dichotomized logistic regression vs. multinomial logit regression
Authors: li lei , Rysavy Matthew A. , Bobashev Georgiy , Das Abhik 
Published: February 2024

Abstract

Background
Medical outcomes of interest to clinicians may have multiple categories. Researchers face several options for risk prediction of such outcomes, including dichotomized logistic regression and multinomial logit regression modeling. We aimed to compare these methods and provide practical guidance needed.
Methods
We described dichotomized logistic regression and competing risks regression, and an alternative to standard multinomial logit regression, continuation-ratio logit regression for ordinal outcomes. We then applied these methods to develop prediction models of survival and growth outcomes based on the NICHD Extremely Preterm Birth Outcome Tool model. The statistical and practical advantages and flaws of these methods were examined and both discrimination and calibration of the estimated models were assessed.
Results
The dichotomized logistic models and multinomial continuation-ratio logit model had similar discrimination and calibration in predicting death and survival without neurodevelopmental impairment. But the continuation-ratio logit model had better discrimination and calibration in predicting probabilities of neurodevelopmental impairment. The sum of predicted probabilities of outcome categories from the logistic models did not equal 100% for about half of the study infants, ranging from 87.7% to 124.0%, and the logistic model of neurodevelopmental impairment greatly overpredicted the risk among low-risk infants and underpredicted among high-risk infants.
Conclusions
Estimating multiple logistic regression models of dichotomized outcomes may result in poorly calibrated predictions. For an outcome with multiple ordinal categories, continuation-ratio logit regression is a useful alternative to standard multinomial logit regression. It produces better calibrated predictions and has the advantages of simplicity in model interpretation and flexibility to include outcome category-specific predictors and random-effect terms for patient heterogeneity by hospital.
Asymptomatic malaria in pregnancy and associated risk factors in Majang Zone, Gambella Region, Southwest Ethiopia: A hard-to-reach malaria hotspot
Authors: Alemayehu Aklilu , Abossie Ashenafi , Zeynudin Ahmed , Yewhalaw Delenasaw , Beyene Joseph 
Published: February 2024

Abstract

Background
Asymptomatic malaria in pregnancy (AMiP) is a daunting public health problem with multifaceted adverse outcomes for mothers, fetuses, newborns and beyond. This study aimed to assess the prevalence and risk factors of AMiP in Majang Zone, Gambella Region, Southwest Ethiopia.
Method
A facility-based cross-sectional study was conducted among 425 pregnant women attending the ANC clinics of five health facilities in the Majang Zone from November 01, 2022, to February 28, 2023. Sociodemographic, obstetric, and antimalarial intervention data were collected using an interviewer-administered questionnaire. Capillary blood specimen was collected to diagnose malaria and anemia as well as determine blood group. Malaria was diagnosed by rapid diagnostic test (RDT), microscopy, and quantitative Polymerase Chain Reaction (qPCR). Statistical analyses were done by SPSS version 26.0 for Windows. The associations between dependent and independent variables were assessed by multivariable binary logistic regression considering P < 0.05 statistically significant. The magnitude of associations was quantified with the AOR along with the corresponding 95% CI.
Results
The prevalence of AMiP was 11.3%, 11.7%, and 15.3% by RDT, microscopy and qPCR, respectively. More than half of the infections were due to P. falciparum (55.4%). Moderate parasitemia accounted for half (50.8%) of the overall infection severity and a geometric mean asexual parasitemia was 2,683/µl. Approximately 32.3% of pregnant women with AMiP carried gametocytes with a geometric mean density of 1,213/µl. Not using ITN in the last week (AOR: 9.43 95% CI: 1.57, 56.62), having a history of malaria in the last year (AOR: 2.26 95% CI: 1.16, 4.42), lack of IRS spraying in the last year (AOR: 3.00 95% CI: 1.50, 6.00), and ANC contact less than two (AOR: 4.28 95% CI: 2.06, 8.87) were identified as risk factors associated with AMiP.
Conclusion
The prevalence of AMiP was high, and remained as an important public health problem in the study area. The identified risk factors should be considered to mitigate AMiP in the study area.
Molecular modeling studies of Pyrazolopyrimidine Derivatives as potent Cyclin Dependent Kinase-2 inhibitors
Authors: Chagaleti Bharath Kumar , K Kathiravan Muthu 
Published: February 2024

Abstract
This study addresses the pressing need for innovative cancer treatments in the face of global challenges posed by the widespread occurrence of cancer and increasing treatment resistance. The study looks at cyclin-dependent kinase-2 (CDK2) and uses a methodical computer approach to find possible anticancer compounds with pyrazole and pyrimidine structures. (QSAR) quantitative structure-activity relationship has become crucial in lead optimization over the last three decades. A set of 45 pyrazolopyrimidine derivatives with known IC50 values were used to create and test models using QSARINS software. Model 4, with its high predictive performance (R2 = 0.9100, R2adj = 0.8900, LOF = 0.0394), emerges as the most reliable. The resulting QSAR model proves stable, predictive, and robust, effectively representing the original dataset. Active molecular descriptors are identified for predicting the structure-activity relationship. We used SAR analysis and model equation parameters to create sixty compounds and tested them for their predicted bioactivity using Model 4. These compounds are a series with pyrazolopyrimidine-fused piperidine and hybrid moieties, such as methanethione (20), ethenone (20), and benzamide (20). Among the designed series, 16 compounds exhibited pIC50 values exceeding 7, indicating that they were hit molecules represented as C1-C16. These obtained hit molecules undergo further screening with ADMET, molecular docking, and molecular dynamics simulations. C3 and C7, revealed in docking studies with low-energy conformations and sustained binding during simulations, consistently align their binding modes with the standard drug roscovitine. These compounds emerge as promising leads for targeting CDK2 in the development of groundbreaking cancer therapies.
Environmental Kuznets Curve Hypothesis in Ethiopia
Authors: Derege Alemayehu Ethiopia 
Published: February 2024

Abstract
This study used regional panel data from Ethiopia to examine the degree to which Ethiopia adhere to the environmental Kuznets curve hypothesis and, in turn, estimate the extent to which its people are willing to contribute to environmental development. According to the research, the country complies with the environmental Kuznets curve hypothesis; though environmental resources are regarded either basic or inferior commodity. In relatively more urbanized regions (Harari and Addis Ababa), EKC is U-shaped, negating the hypothesis. During the short run, environmental willingness to pay is typically seen to be low across the nation, with residents of states with higher levels of forestation being more ready to pay for a cleaner environment. The study concludes that economic development takes precedence over environmental development and suggests pro-growth economic policies backed by environmental development assistances.
Heatwave Magnitude Impact and Projected Changes Over Himachal Pradesh: Cmip 6 Projections
Authors: Rana Saksham , Meena Ray Singh 
Published: February 2024

Abstract
Being a hilly state Himachal Pradesh, heatwave incidents are not associated with each other, yet recent news and incidents are concerning. Numerous studies have shown that climate change has an extremely unexpected effect on the planet, causing natural disasters such as heatwaves and floods to become more intense everywhere. With the help of the daily maximum temperature dataset from 13 General Circular Models (GCMs) of CMIP-6 projection from to 2020–2100 of four SSPs (126, 245, 370, and 585) scenarios, this study is an attempt to predict the impact of climate change on Himachal Pradesh at the district level in terms of heatwaves, comparing their intensity and frequency over the entire area. This research aids in determining the most vulnerable regions in Himachal Pradesh as well as the ways in which variations in altitude and varying degrees of climate change affect heatwave patterns, trends, and intensity. These findings imply that as altitude rises, so does the frequency and intensity of heatwaves, which in turn increase with the effects of climate change.
Discovering critical nodes in transportation network for traffic speed prediction: A deep learning approach
Authors: Chen Xiaoming , Wang Jiali , Zhang Weijie , Shen Zhou 
Published: February 2024

Abstract
Intelligent transportation systems play a pivotal role in addressing the growing challenges of urban mobility. This paper introduces the Spatial-Temporal Traffic Predictor (STTP), a novel deep learning approach designed for accurate traffic speed prediction within transportation networks. Motivated by the need for advanced models to optimize traffic flow and mitigate congestion, STTP strategically integrates spatial and temporal dependencies, capturing intricate patterns crucial for precise predictions. Through extensive experiments on real-world datasets, including diverse urban contexts, STTP demonstrates superior performance compared to state-of-the-art methods. The model excels in capturing both spatial and temporal dynamics, identifies critical nodes within transportation networks, and showcases robust generalization across different cities. The findings affirm STTP's potential as a versatile tool for enhancing traffic management and contributing to the development of smarter transportation infrastructures.
Diagnostic and prognostic role of microRNA-525 in different cancers: A systematic review and meta-analysis
Authors: ZHAO MENG , PAN YUN , GAO BO , LI YAN , HE YALING , ZHANG PINGXI , LI YUYANG , WANG JUE 
Published: February 2024

Abstract
Background
New prospect of cancer therapeutical management seems to be early diagnosis and prognosis prediction by microRNAs. The aim of our study is to explore the role of miR-525 in cancer diagnosis and prognosis through a systematic review and meta-analysis.
Methods
We conducted systematic search through PubMed, Embase, Web of Science, Scopus, Medline, Chinese National Knowledge Infrastructure (CNKI) and Wanfang databases up to November 25, 2023, regardless of language restrictions. Sensitivity, specificity, and diagnostic odds ratio (DOR) were extracted for diagnostic meta-analysis, while hazard ratio (HR) with 95% confidence interval (CI) for prognostic meta-analysis. Subgroup analysis and publication bias analysis were performed appropriately to investigate possible sources of heterogeneity.
Results
A total of 8 studies were included in the meta-analysis, of which 7 were used for diagnostic meta-analysis, covering 559 patients, and 3 were used for prognostic meta-analysis, covering 324 patients. The pooled sensitivity was 0.75 (95%CI = 0.70 to 0.79), specificity was 0.73 (95%CI = 0.68 to 0.78), DOR was 13.08 (95%CI = 4.18 ~ 40.91), and the area under the curve ratio (AUC) was 0.86 (95%CI = 0.83–0.89). Subgroup analysis showed that miR-525 may have good diagnostic ability in the early TNM stage of cancer. Prognostic meta-analysis showed that low miR-525 expression in patients was associated with preferable survival (HR = 0.17, 95%CI = 0.07–0.9).
Conclusions
Our findings suggest that miR-525 could be used as a potential biomarker for cancer patients. Low expression of miR-525 in cancers predicted a good prognosis.
Non‑motor Symptoms in Parkinson’s Disease and their clinical correlates: A prevalence study in Tertiary Care Center in Turkey
Authors: Onder Halil , Comoglu Selcuk 
Published: February 2024

Abstract
Objective
We aimed to investigate the involvement of non-motor symptoms (NMSs) in our consecutive Parkinson’s disease (PD) cohort systematically and reveal the possible clinical correlates.
Methods
We enrolled all consecutive PD subjects who applied to our movement disorders outpatient clinics between January/2023 and December/2023; and accepted to participate in the study. In addition to the evaluation of the demographic and clinical features, clinical scales, including the MDS-UPDRS, NMSS, and FOOGQ were performed.
Results
Overall, we enrolled 163 PD subjects with a mean age of 63.9 ± 10.4 (F/M = 27/136). The disease duration was 3.5 (20) y [median (range)]. The median score of the NMSS was 41 points. The NMSs burden levels were severe in 25.2%, and very severe in 25.2% of the subjects. The subitems with the highest scores were sleep/fatigue, mood/cognition, urinary, and miscellaneous. The correlation analyses between the clinical scales and the NMSS scores revealed positive correlations between the NMSS scores and the results of all the clinical scales including the MDS-UPDRS 1,2, 3, 4, and FOGQ. The analyses within the patient group with newly diagnosed PD also revealed also high NMSS scores.
Conclusion
We reported the first data regarding the NMS burden in PD subjects from Turkey. We found a high prevalence and severity of various domains of NMSs, most being sleep/fatigue, mood/cognition, urinary, and miscellaneous. More than half of the patients had an NMS burden of severe to very severe level. We found that NMSs were prevalent even in the subgroup with newly diagnosed patients.
Retrospective registry of patients with locally advanced/metastatic HR+/HER2− breast cancer treated in clinical practice in Andalusia.
Authors: Piudo Natalia Chavarría , López-Barajas Isabel Blancas , Flores Encarna González , Carrasco Fernando Henao , Álvarez Pilar López , Pancorbo David Morales , Casado Salvador Gámez , Garrido María de la Cabeza Lomas , García José Manuel Rodríguez , Guisado Antonia Martínez , Vega Adrián Sánchez , Borrego Manuel Ruiz 
Published: February 2024

Abstract

Background Limited data are available regarding the real-world effectiveness and safety of Cyclin Dependent Kinase 4/6 inhibitor (CDK4/6i) (palbociclib/ribociclib) just as a first-line treatment for patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2‒) metastatic breast cancer (MBC). Objective To assess whether clinical or demographic characteristics limit access to first line CDK4/6i treatment in clinical practice in the Autonomous Community of Andalusia (Spain) between November 2017, and April 2020. In addition, effectiveness will be described in an exploratory analysis. Methods Physicians from 12 centers abstracted demographic and clinical characteristics, treatment and outcome data for women with HR+/HER2- MBC receiving and not receiving CDK4/6i in addition to hormonal treatment in the first-line setting a 3:1 proportion. Kaplan–Meier analysis estimated progression-free rates (PFRs) and survival rates (SRs). Results A total of 212 patients were included, of whom 175 (82.5%) were in the CDK4/6i treatment group and 37 (17.5%) were in the non-CDK4/6i treatment group (control group). CDK 4/6i treated patients were younger (p = 0.0011), and biopsies of the metastatic disease were done more frequently (p = 0.0454), with multiple metastases, and with differences in relation to the time of diagnosis of metastatic disease (p = 0.0304). The clinical benefit rate (CBR) was 82.3% in the CDK4/6i group and 67.8% in the control group. Median time to a progression event or death (PFS) was 20.4 months (95%CI 15.6–28) in the CDK4/6i group and 12.1 months (95%CI 7.9-not reached) in the control group. Conclusions Younger patients, biopsies of metastatic disease and with multiple metastases were more frequently treated with CDK4/6i.