bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction model for specific cutting energy of nickel-based Inconel 718 under NMQL condition
Authors: Pan Zhirong , Bin Yao , Cai Zhiqin , Lan Qixin 
Published: March 2024

Abstract

The cutting characteristics of Inconel 718 alloy are high hardness and surface hardening, resulting in fast tool wear, severe chipping, and inadequate machining accuracy. To overcome these challenges, this article proposes a method to enhance the cutting performance by injecting fullerene C60 nanoparticle cutting fluid with minimum quantity lubrication (MQL) into the cutting zone. Leveraging the Johnson-Cook constitutive model and the imaginary heat source method, this study simulates the cooling effect and friction reduction characteristics of the cutting contact interface under minimum quantity lubrication conditions, and assessment of cutting energy consumption using predicted and measured specific cutting energy (SCE). Through friction wear tests, the friction coefficient changes under various lubrication conditions are measured and analyze the impact of lubrication conditions on friction and wear mechanism. The cutting test results reveal that variations in cutting parameters significantly influence energy efficiency, with specific cutting energy exhibiting a downward trend as the material removal rate (MRR) increases. Notably, C60 nanoparticle minimum quantity lubrication (NMQL) stands out excellent friction reduction and cooling effects among other lubrication methods. Experimental data demonstrate that NMQL compared with dry cutting, flood cutting and pure MQL, the specific cutting energy is reduced by 31.3%, 19.13%, and 17.37%, respectively, and the cutting energy performance is significantly improved. The maximum error of the SCE prediction model is 17.5%, and the prediction results align well with the experimental findings. This article offers fresh insights for advancing machining theory and exploring sustainable green machining of nickel-based alloys.
Safety assessment of S-1: Real-world adverse event analysis from the FAERS database
Authors: Zhao Di , Liu Jie 
Published: March 2024

Abstract
Background
The aim of this study was to gather information on adverse drug events (ADEs) associated with S1 from the US Food and Drug Administration Adverse Event Reporting System (FAERS) to evaluate its safety and provide a reference for drug use.
Methods
We searched the raw data of the FAERS database from its establishment to the third quarter of 2023 to screen ADE reports involving S-1. Signal detection indicators, including ROR, PRR, BCPNN, and MGPS, were used to perform statistical analysis and systematic classification of adverse drug events (ADEs) based on corresponding threshold conditions.
Results
A total of 186,085,022 REAC reports, and 2,011 PT signals induced by S1 as the PS were obtained. Among them, there were 856 adverse event reports of S1 as the PS. In addition, the average age of patients was 65 years and 6 months. Through screening analysis, a total of 126 PT signals involving 18 SOSCs were identified. Mainly involved in vascular disorders, general disorders, and administration site conditions such as skin and subcutaneous tissue disorders. PT with high occurrence frequency includes papules/rash/pruritus; we also found hypertension with an ROR of 95% CI 90-77121-1156 and uterine cancer with an ROR of 95% CI 90-7292-2817.
Conclusions
Mining and analysis of real-world adverse event data of S1 is helpful in finding potential risk signs or symptoms of adverse drug reactions, suggesting that clinical attention should be paid not only to the adverse reactions mentioned in the drug instructions but also to new suspected adverse reactions and clinical standardized medication to ensure patient medication safety.
A Chemometric Analysis of Montelukast Sodium And Levocetirizine Dihydrochloride In Pharmaceutical Formulations Using Artificial Neural Networks, Partial Least Squares, And Principal Component Regression Models
Authors: Jagdale Aishwarya , Mitkari Bhavana , Sutar Abhijeet 
Published: March 2024

Abstract

Present work describes applications and comparison of three models including Artificial intelligence-based ANN model and multivariate regression models namely PLS and PCR for simultaneous estimation of Montelukast sodium and Levocetirizine dihydrochloride in a tablet dosage form. Calibration and validation sets were prepared using standard solutions in a defined ratio as well as in random ratios. The UV absorption spectra of calibration set, and validation set were recorded in wavelength range of 200–400 nm using methanol as solvent. Three different models were constructed and validated using these sample sets. Three models were used to calculate the amount of drugs in the tablet formulation. Accuracy of the models was studied by performing recovery studies. Models were studied based on values obtained for root-mean-standard error for cross-validation, root-mean-standard error calibration, and correlation coefficients. All models showed lower values for the error terms and correlation values very close to one. Comparison of the three models shows that PLS, PCR and ANN models shows quite similar prediction ability, but ANN models need a larger number of samples to build a good model. These developed models were also compared with the reported HPLC method, and it was found that spectrophotometric based models are simple, rapid and gives better and faster prediction as compared to univariate models as well as costly, time consuming HPLC methods. Thus, these models may be used in the quality control department.
No Genetic Causality between Branched-Chain Amino Acids and Diabetic Nephropathy: A Two-Sample Mendelian Randomization Study
Authors: Ma Qiqi , Song Shuaihua , Xu Gaosi 
Published: March 2024

Abstract

Background
Numerous studies have reported the close relationship between branched-chain amino acids (BCAA) and diabetic nephropathy (DN). Nevertheless, whether there is a genetically causal association between them remains profoundly elusive.
Methods
A two-sample Mendelian randomization (MR) analysis was performed using the large genome-wide association studies of the European population. The causal association was primarily evaluated by the inverse variance weighted (IVW) method. In addition, MR-Egger regression, weighted median, simple mode, and MR-weighted mode were also conducted as the supplemented methods. For sensitivity, Cochrane’s Q test, MR-Egger regression, and MR-PRESSO were employed to evaluate the heterogeneity and pleiotropy, respectively.
Results
According to the IVW method, no significant causal effect was measured between three BCAA and DN (valine: OR: 1.202, 95% CI: 0.714–2.023, P = 0.488; isoleucine: OR: 0.878, 95% CI: 0.400–1.924, P = 0.744; leucine: OR: 1.395, 95% CI: 0.686–2.839, P = 0.358; total BCAA: OR: 1.374, 95% CI: 0.703–2.685, P = 0.352). For reverse MR analysis, DN as an exposure factor also had no causal effect on BCAA (valine: OR: 1.004, 95% CI: 0.994–1.014, P = 0.412; isoleucine: OR: 0.999, 95% CI: 0.990–1.009, P = 0.910; leucine: OR: 1.001, 95% CI: 0.992–1.011, P = 0.802; total BCAA: OR: 1.002, 95% CI: 0.993–1.012, P = 0.628).
Conclusion
Our results first demonstrated no significant causal association between BCAA and DN at the genetic level.
WITHDRAWN: Simulation Analysis of Electron Diffusion in Circular Semiconductor Attached With Gold Nanoparticle
Authors: wang junli 
Published: March 2024

Abstract

The present research has focused on the electron diffusion simulation in titanium oxide (TiO2) after ultrafast electron injection from attaching gold (Au) nanoparticles measured by femtosecond spectroscopy using Monte Carlo random walk. While the recombination phenomenon is anticipated to be significantly influenced by the external structure of TiO2, this effect has not been thoroughly researched. In this study, the simulation experiments were conducted with the electron diffusion originating from the center of the circle. The diffusing electron encounters in-boundary reflectance within the range of 15°-345°, and experiences out-of-boundary absorption between 0°-15° and 345°-360°. The program allows for boundary and radius step-size adjustments to bring the simulated surface closer to the actual surface of the TiO2 nanostructure. The histograms corresponding to the occurrence frequency of the out-of-boundary absorption are obtained. Furthermore, the boundary and radius step-size are adjustable, we gave scatter plot of their different particle positions and their density plot. The charge recombination process is influenced by the carrier diffusion length with variable step size radius; by variable boundary, nanoparticles and lifetime conform to the experimental quadratic relationship were verified.
Web-Enhanced Return-to-Work Coordination for employees with common mental disorders: Reduction of sick leave duration and relapse
Authors: Corbière Marc , Mazaniello-Chézol Maud , Lecomte Tania , Guay Stéphane , Panaccio Alexandra , Giguère Charles-Édouard 
Published: March 2024

Abstract

Background
Common mental disorders (CMDs) are highly prevalent in workplace settings, and have become a significant public health challenge. This study aims to assess the effectiveness of PRATICAdr, a web application facilitated by a Return-to-Work Coordinator (RTW-C), with a focus on reducing sick leave duration and preventing relapse in individuals with CMDs.
Methods
PRATICAdr, designed to enhance collaboration among Return-to-Work (RTW) stakeholders and provide systematic support throughout the RTW process, was evaluated in a quasi-experimental study. Survival analyses were used to compare sick leave durations and relapses between the experimental group (PRATICAdr with RTW-C), and control groups (RTW-C only). Both conditions had equal distribution of 50% from a large public health organization (n = 35) and 50% from a large private financial organization (n = 35). Mixed linear models were used to observe changes in clinical symptoms over time, especially for the experimental group.
Results
The experimental group demonstrated significantly shorter sick leave durations and fewer relapses compared to the control group. Notably, the average absence duration was close to 3 months shorter in the experimental group. This difference was found when the RTW-C intervention (rehabilitation care) began 2 months after the onset of sick leave. Relapses occurred only in the control group (13.2%). The absence of relapses in the experimental group is noteworthy, along with the significant decrease in depressive and anxious symptoms over time.
Conclusions
The findings suggest that incorporating PRATICAdr into RTW-C intervention can lead to substantial cost savings by facilitating coordination among stakeholders and guiding the RTW process with validated tools. Initiation of RTW-C intervention alongside PRATICAdr within the first month of absence is recommended for optimal health and work outcomes.
Obtention of crosslinked hybrid films from xanthan gum and 3-(trimethoxysilyl)propyl methacrylate for controlled drug delivery
Authors: Ortega Alejandra , Toral Eduardo , Burillo Guillermina , García-Uriostegui Lorena 
Published: March 2024

Abstract

Modification of natural polymers with inorganic molecules is a good alternative to develop new hybrid materials by biomedical applications, taking advantage of its inherent properties such as biodegradability, biocompatibility, non-toxicity and low cost. In this work, films of xanthan gum (XG) and 3-(trimethoxysilyl)propyl methacrylate (TMPS) were crosslinked by gamma radiation in solid state, and their potential application as drug delivery system loading narrow- and broad-spectrum antibiotics (vancomycin and ciprofloxacin) were studied. The parameters evaluated in the crosslinking process were dose and TMPS concentration, obtaining the highest crosslinking percentage at 15 kGy and 200% TMPS. The incorporation of silane compound was confirmed by infrared spectroscopy (FTIR) and thermal analysis (TGA), indicating that reticulation process was successful carried out and TMPS was incorporated of material. Also, swelling behaviour, contact angle and scanning electronic microscopy (SEM) of crosslinked films were evaluated, showing materials with good porosity and hydrophilicity. The studies of drug delivery displayed excellent results for vancomycin, loading 110 mg g-1 approximately and releasing more of 95%, while ciprofloxacin was able to load until 4 mg g-1 and released 80%.
Using D.SAP, an apple-based formulation for treatment of human papilloma virus, a case report
Authors: Dezhakam Hossein , Dezhakam Amin , Dezhakam Ani , Dezhakam Shani , Haghighatfard Arvin 
Published: March 2024

Abstract
The Human papilloma virus (HPV) with almost 1% of prevalence in sexually active adults has more than thirty-five (HPV) types, that can infect the genital tract in women and cause a visible genital HPV infection and genital warts that reveal on the cervix, vagina, urethra, anus, and surrounding areas are mostly caused by HPV genotypes 6, 11 and 18. Moreover, the oncogenic HPV types including 16,18,31,33 and 35 are detected in most of the genital warts and are significantly associated with intraepithelial neoplasia of vulval (VIN), cervical (CIN), and anal (AIN). About fifty percent of the infected group have a subclinical or latent infection. Some of the HPV types can cause cervical, vaginal, and vulvar cancers. The most common treatment methods for removal of the HPV-induced vaginal warts are including cryotherapy, electrocautery, laser therapy, surgery, or trichloroacetic acid. In the present case report the treatment of a 41 years old woman with HPV infection and HPV-induced vaginal warts using an Iranian specially formulated apple-based sap called Dezhakam sap (D.SAP) has been presented. Results showed the disappearance of warts on the vaginal area, and replacement with normal tissue after three months of treatment. D.SAP is an antioxidant and probiotic-rich compound that could help the immune system fight against HPV infections and may present as a potential complementary therapy for HPV-induced warts.
Constructed wetland-based wastewater treatment of a coffee-washing plant and its impacts: a case study of Kege processing plant, Ethiopia
Authors: Mihret D. , Gonse A. , Lamisso S. , Kannan N. 
Published: March 2024

Abstract

Coffee washing units in Sidama Regional State, Southern Ethiopia pose a serious threat to surface water sources and coffee growing soils. A comparison field performance test was conducted on the capacity of natural and constructed wetland on wastewater treatment. The study indicates that treating the effluent from the processing plants using constructed wetland supported by sedimentation pond, filtration, and gravity aeration can reduce pollutant levels significantly. The treated waste water can be safely disposed-of to the natural river. It was observed that BOD5 was reduced by 90 and 96% in natural and constructed wetlands, respectively. TDS was reduced substantially whereas nitrate was reduced by 63%. Soil quality parameters from the wetland are within the permissible limits of Ethiopian Environmental Protection Agency. Heavy metals from coffee beans produced from the surrounding farms using water from Gidabo River discharged with treated effluent from the processing units are within the permissible limits. It is evidenced that wetlands in general and constructed wetlands in particular are promising technologies to treat the effluent water and recommended to be adopted by all the processing units in the region.
Characterizing the aridity indices and potential evapotranspiration using CMIP6-GCMs in two distinct regions of Ethiopia
Authors: Seifu Tesema Kebede , Demessie Eshetu Kidist 
Published: March 2024

ABSTRACT

Using an ensemble of three global climate models, the current study aims to estimate climate change and quantify the changes in the aridity and evapotranspiration of two distinct areas in Ethiopia. To adjust for bias in the climate dataset, the Hydrological Modeling Tool (CMhyd) was used. These studies were initially run using station data and employed the shared socioeconomic pathways scenarios for the short-range (2011–2040) years and medium-range (2041–2070) years. Climate-related aridity is measured using the De Martone and United Nations Environment Programme aridity indices. The study's findings for the western and eastern catchments for the reference period (1981–2010) years reveal an average annual temperature rise of 1.5 and 0.06 °C and a drop in annual precipitation of 15.73 and 3.68 mm/year, respectively. These alter the climate in the geographical areas that have historically supported drought. Evapotranspiration in the western and eastern catchments may grow by up to 24.6 and 21.6%, respectively, by the 2070s. The observation implies that the western catchment may experience more pronounced climate change and volatility than the eastern one. The consequences of this observation influence agriculture, water resource management, and the social and economic well-being of those living in drought-prone areas.
Effectiveness and Safety of Different Oral Anticoagulants with P-glycoprotein/
CYP3A4 Inhibitors: A Network Meta-analysis
Authors: Yang Siyu , Xu Ye , Zhang Yang , Li Dandan , Li Xingang 
Published: March 2024

Background:
Metabolism of oral anticoagulants (OAC) is affected by P-glycoprotein (P-gp)/
CYP3A4 enzyme. However, the P-gp/CYP3A4 inhibitors are unavoidably used with OACs.

Methods:
Medline, Cochrane, and Embase were systematically searched for randomized controlled trials and
cohort studies from inception till 23rd November, 2022 to assess the safety and effectiveness of OACs when
concomitantly used with P-gp/CYP3A4 inhibitors. The primary outcomes were major bleeding and gastrointestinal
(GI) bleeding. Secondary outcomes were stroke/systemic embolism (SE), all-cause mortality, any
bleeding as well as intracranial hemorrhage (ICH). We estimated summary odds ratios (OR) with 95% credible
intervals (CI) using pairwise and network meta-analysis with random effects

Results:
A total of 11 studies involving 37,973 patients were included. When concomitantly used with P-pg/
CYP3A4 inhibitors, network meta-analysis indicated that dabigatran, apixaban, and edoxaban were associated
with significantly lower risk of major bleeding compared to rivaroxaban, with ORs of 0.56, 0.51 and 0.48, respectively.
Rivaroxaban and dabigatran were associated with a significantly increased risk of GI bleeding than
warfarin, apixaban and edoxaban. Dabigatran and apixaban were linked with significantly lower risk of any
bleeding compared with warfarin (ORs were 0.75 and 0.68, respectively) or rivaroxaban (ORs were 0.67 and
0.60, respectively). Apixaban (OR 0.32) and edoxaban (OR 0.35) were associated with a lower risk of ICH
compared with warfarin. There was no difference between any OACs in terms of stroke/SE or all-cause mortality.

Conclusion:
When concomitantly used with P-gp/CYP3A4 inhibitors, apixaban and edoxaban were associated
with a lower risk of bleeding, though no significant difference in effectiveness was observed among all OACs.
Effects of Clarithromycin and Ketoconazole on FK506 Metabolism in Different
CYP3A4 Genotype Recombinant Metabolic Enzyme Systems
Authors: Wen Jinhua , Xiao Yuwei , Zhao Menghua , Yang Chen , Hu Weiqiang 
Published: March 2024

Objective:
This study aimed to investigate the effects of clarithromycin and ketoconazole on the
pharmacokinetic properties of tacrolimus in different CYP3A4 genotype recombinant metabolic enzyme systems,
so as to understand the drug interactions and their mechanisms further.

Method:
The experiment was divided into three groups: a blank control group, CYP3A4*1 group and
CYP3A4*18 recombinant enzyme group. Each group was added with tacrolimus (FK506) of a series of concentrations.
Then 1 umol/L clarithromycin or ketoconazole was added to the recombinant enzyme group and
incubated in the NADPH system for 30 minutes to examine the effects of clarithromycin and ketoconazole on
the metabolizing enzymes’ activity of different genotypes. The remaining concentration of FK506 in the reaction
system was determined using UPLC-MS/MS, and the enzyme kinetic parameters were calculated using
the software.

Results:
The metabolism of CYP3A4*18 to FK506 was greater than that of CyP3А4*1B. Compared with the
CYP3A4*1 group, the metabolic rate and clearance of FK506 in the CYP3A4*18 group significantly increased,
with Km decreasing. Clarithromycin and ketoconazole inhibit the metabolism of FK506 by affecting
the enzyme activity of CYP3A4*1B and CYP3A4*18B. After adding clarithromycin or ketoconazole, the
metabolic rate of FK506 significantly decreased in CYP3A4*1 and CYP3A4*18, with Km increasing, Vmax
and Clint decreasing.

Conclusion:
Compared with CYP3A4*1, CYP3A4*18 has a greater metabolism of FK506, clarithromycin
and ketoconazole can inhibit both the enzymatic activities of CYP3A4*1 and CYP3A4*18, consequently affecting
the metabolism of FK506 and the inhibitory on CYP3A4*1 is stronger.
A Radiomics-clinical Nomogram based on CT Radiomics to Predict Acquired
T790M Mutation Status in Non-small Cell Lung Cancer Patients
Authors: Xiong Wanrong , Yu Xiufang , Zhou Tong , Huang Huizhen , Zhao Zhenhua , Wang Ting 
Published: March 2024

Objective:
To develop and validate a radiomics-clinical nomogram for the detection of the acquired T790M mutation in patients with advanced non-small cell
lung cancer (NSCLC) with resistance after the duration of first-line epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI)
treatment.

Materials and Methods:
Thoracic CT was collected from 120 advanced NSCLC patients who suffered progression on first- or second-generation TKIs. Radiomics
signatures were retrieved from the entire tumor. Pearson correlation and the least absolute shrinkage and selection operator (LASSO) regression
method were adopted to choose the most suitable radiomics features. Clinical and radiological factors were assessed using univariate and
multivariate analysis. Three Machine Learning (ML) models were constructed according to three classifiers, including Logistic Regression (LR),
Support Vector Machine (SVM), and RandomForest (RF), combining clinical and radiomic features. A nomogram combining clinical features and
the rad score signature was built. The predictive ability of the nomogram was assessed by the ROC curve, calibration curve, and decision curve
analysis (DCA).

Results:
Multivariate regression analysis showed that two clinicopathological characteristics and two radiological features were highly correlated with the
acquired T790M mutation, including the progression-free survival (PFS) of first-line EGFR TKIs (P = 0.029), the initial EGFR profile (P = 0.01),
vascular convergence (P = 0.043), and air bronchogram (P = 0.030). The AUCs of clinical, radiomics, and combined models using RF classifiers
for T790M mutation detection were 0.951 (95% confidence interval [CI] 0.911,0.991), 0.917 (95%CI 0.856,0.978), and 0.961 (95%CI 0.927,0.995)
in the training cohort, respectively, higher than those of other classifier models.The calibration curve and Hosmer-Lemeshow Test showed good
calibration power, and the DCA demonstrated a significant net benefit.

Conclusion:
A radiomics-clinical nomogram based on CT radiomics proved valuable in non-invasively and efficiently predicting the acquired T790M mutation
in patients who suffered progression on first-line TKIs.