bluuebunny/crossref_metadata_2025_split huggingface dataset:
CD22 is a potential target of CAR-NK cell therapy for esophageal squamous cell carcinoma
Authors: Sun Pingnan , Liu Tingdang , Dai Ximing , Xu Yien , Guan Tian , Hong Liangli , Zaib Tahir , Zhou Qi , Cheng Ke , Zhou Xiaoling , Ma Changchun 
Published: June 2023

Abstract
Background
Chimeric antigen receptor NK (CAR-NK) cell therapy is one of the most promising immunotherapies. Although it has shown a significant therapeutic effect in hematologic malignancies, few successes have been obtained in solid tumors. One of the major reasons is the lack of specific cell surface antigens. Here we identify CD22, a well-known tumor surface marker in hematologic malignancies, is expressed in esophageal squamous cell carcinoma (ESCC), possibly serving as a potential target of CAR-NK cell therapy.
Methods
The expression of 13 tumor cell surface antigens used clinically was analyzed in patients from The Cancer Genome Atlas (TCGA) database. Then according to RNA expression in 2 ESCC cell lines and 2 patients samples, CD22 was selected for further investigation. Following this, the expression of CD22 by immunofluorescence(IF) in ESCC cell lines and by immunohistochemistry(IHC) in 87 cases of human ESCC samples was detected respectively. On the basis of IHC results, the correlation between CD22 expression and clinical parameters was analyzed. As a proof, the efficacy of CD22-targeted CAR-NK cells against ESCC cell lines was performed.
Results
KYSE-140 and KYSE-150 cell lines displayed surface expression of CD22. IHC showed an 80.46% (70/87) positive rate in ESCC patient samples. Among these, cell membranous expression of CD22 was observed in 27.59% (24/87) patient samples. Expression of CD22 in ESCC was associated with lymph node metastasis while it is no related to the depth of tumor invasion and clinical stage. Engineered CD22-targeted CAR-NK cells exhibited inhibitory growth capability against ESCC cell lines (p < 0.0001).
Conclusions
CD22 is a potential tumor surface antigen capable of being targeted by CAR-NK cells in ESCC. And potential therapeutics for ESCC may be developed based on immune cells expressing anti-CD22 CAR.
A metacontinuum model for phase gradient metasurfaces
Authors: Palma Giorgio , Iemma Umberto 
Published: June 2023

Abstract
Acoustic metamaterials and metasurfaces often present complex geometries and microstructures. The development of models of reduced complexity is fundamental to alleviate the computational cost of their analysis and derivation of optimal designs. The main objective of this paper is the derivation and validation of a metacontinuum model for phase gradient-based metasurfaces. The method is based on the transformation acoustics framework and defines the metasurface in terms of anisotropic inertia and bulk modulus. Thermal and viscous dissipation effects in the metacontinuum are accounted for by introducing a complex-valued speed of sound. The model is implemented in a commercial FEM code, and its predictions are compared with numerical simulations on the original geometry and also using an equivalent boundary impedance approach. The results are examined for an exterior acoustics benchmark and for an in-duct installation in terms of transmission coefficient with the four-pole matrix method. The metacontinuum model gives solid results for the prediction of the acoustic properties of the examined metasurface samples for all the analyzed configurations, as accurate as the equivalent impedance model on which it is based and outperforming it in some circumstances.
Exploration of interaction existing between Methyl Chavicol and Bovine Serum Albumin using Spectroscopic and molecular modelling techniques
Authors: Singh Anju , Sinha D K , Verma Meenakshi , Thakur Sourbh , Awasthi Abhishek , Thakur Kamal Kishor 
Published: June 2023

Abstract
Methyl Chavicol (MC), also known as 1-methoxy-4-prop-2-enylbenzene, estragole, or p-allyl anisole is a specific metabolite that can be found in the essential oils of both culinary and medicinal plants. It has anti-microbial, anti-inflammatory, and insecticidal properties. In order to determine the binding mechanism and conformational changes of the in vitro interaction of MC with bovine serum albumin (BSA), several biophysical techniques as well as molecular modelling methods have been used. The fluorescence emission from BSA in the presence of MC at three distinctive temperatures was measured using 290nm excitation wavelength. BSA's intrinsic fluorescence has been quenched by MC via a static process. The absorption peak shifts as a result of the development of the MC-BSA complex. Binding of MC with BSA caused conformational alterations, as seen by the fluorescence, UV- absorption, circular Dichroism, and FT-IR data. The values of the binding constants get increased as the temperature rises, indicating a stable complex formation under these conditions. Further, Site II, of BSA, has been discovered to have the strongest MC binding affinity and hydrophobic interactions have been hypothesized to be the dominant interaction type in the BSA-MC complex because of the positive levels of enthalpy and entropy changes.
Optimizing Hydropower Station Scheduling: A Multi-Objective Real-Time Approach
Authors: Zhou Enjiang , Liu Xiao , Meng Zhihang , Yu Song , Mei Jinxiu , Qu Qiang 
Published: June 2023

Abstract
Efficiency improvement in power generation and navigation for grid-connected hydropower stations has emerged as a significant concern due to challenges such as discrepancies between declared and actual ship arrival times, as well as unstable power generation. To address these issues, this paper proposes a multi-objective real-time scheduling model. The proposed model incorporates an energy storage mechanism and prediction mechanism .Using XGBoost, the actual arrival time of the boat to the water station is predicted. Furthermore, an energy storage mechanism is introduced to stabilize power generation by charging the power storage equipment during surplus generation and discharging it during periods of insufficient generation at the hydropower station. We design a new scheduling objective metric. The proposed model employs the Non-Dominated Sorting Beluga Whale Optimization (NSBWO) algorithm, which combines the Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) and Beluga Whale Optimization (BWO), to optimize and solve the real-time discharge flow scheduling in hydropower stations across different time periods.Experimental results demonstrate the superiority of the proposed model in ship expected arrival time prediction and downstream flow scheduling, exhibiting higher prediction accuracy and better solutions. This research contributes a theoretical basis and provides a practical reference solution for addressing hydropower generation scheduling problems.
Faults prediction and monitoring of complex processes using an ensemble of machine learning regression models: application to the Tennessee Eastman Process
Authors: REZGUI Wail , REZKI Nafissa , KERROUCHI Slimane 
Published: June 2023

Abstract
Modern industrial installations are a source of big amount of data, these data serve as a means of monitoring and control and can also be used for the prediction of the parameters characterizing the supervised process and thus the anomalies. For this, there are several machine learning regression models that can be considered in order to select the best prediction tool. Our study consists in selecting the best means of prediction of the different operating parameters of the Tennessee Eastman (TEP) process. Indeed, this consists in selecting the best model that can ensure an efficient and cost-effective prognosis and predictive monitoring system. Four regression models were considered during our comparative study: the Support Vector Regression (SVR), Gaussian Process Regression (GPR), Decision Tree Regression (DTR) and Ensemble of Learners approaches for Regression (ELR). As evaluation criteria, we chose the MSE regression error by re-substitution, the MSE regression loss for the cross-validation kernel, the optimization of the hyper-parameters and the training time.
Coherently driven quantum features using a linear optics-based polarization-basis control
Authors: Ham Byoung 
Published: June 2023

Abstract
Quantum entanglement generation is generally known to be impossible by any classical means. According to Poisson statistics, coherent photons are not considered quantum particles due to the bunching phenomenon. Recently, a coherence approach has been applied to interpret quantum features such as the Hong-Ou-Mandel (HOM) effect, Franson-type nonlocal correlation, and delayed-choice quantum eraser, where the quantum feature is due to basis-product superposition at the cost of 50% photon loss. For this, it has been understood that a fixed sum-phase relation between paired photons is the bedrock of quantum entanglement. Here, coherently driven quantum features of the HOM effects are presented using linear optics-based polarization-basis control. Like quantum operator-based destructive interference in the HOM theory, a perfectly coherent analysis shows the same photon bunching of the paired coherent photons on a beam splitter, whereas individual output intensities are uniform.
Mechanical properties and microscopic characteristics of fly ash–slag composite backfill
Authors: Zhang Xuefeng , Zhang Xiangdong , Shuai Pang , Su Lijuan , Cai Guanjun 
Published: June 2023

Abstract
The strength of the backfill is crucial for safe and efficient mining, and the cementing material is the key to obtaining a strong backfill. In this paper, industrial waste was used as a raw material, into which basis basalt fibres of different lengths and dosages were incorporated. First, the influencing factors were determined through orthogonal test designs. The optimum water–cement ratio and basalt fibre dosage and length were obtained, and thereby the complete proportion of the backfill material was obtained. The compressive strength and slump of the backfill material mixed with basalt fibres were investigated, and the interfacial mechanism of the backfill material was analysed at the microscopic level using scanning electron microscopy and X-ray diffraction. The results indicated that the degrees of influence of the different factors on the mechanical properties of the backfill material decreased in the following order: water–cement ratio > fibre dosage > fibre length. Furthermore, there were different degrees of interaction among them. Under the best test proportion, that is, when the water–cement ratio was 2, the fibre dosage was 2%, and the fibre length was 6 mm, the slump was 210 mm, and the compressive strength was 5.03 MPa. The mechanical properties were the best at this time. Through data regression, the relationship between the fibre dosage and the average peak stress was established, and the full curve expression for the uniaxial compressive stress–strain of the BFGF specimen was obtained. According to a microscopic characterisation analysis, the slag formed C-S-H gel, which contributed to the early-stage strength of the filling material; fly ash and coal gangue contained a large amount of aluminium, which formed hydrated aluminosilicate with a framework structure, and this contributed significantly to the later-stage strength of the backfill material. The addition of basalt fibres reduces the internal defects of the backfill, allowing the internal pore structure of the backfill to be optimised and the compressive strength to be increased. The results of this study have been successfully implemented in actual projects. Additionally, they provide a reference for similar mine management projects and have considerable promotion and application value.
10 Years of Antenatal Hydronephrosis Experience Comparing Two Different Guidelines
Authors: Ensari Esra , Yavaşcan Önder , Alparslan Caner , Öncel Elif Perihan , Maden Aslıhan Arslan , Demir Belde Kasap , Alaygut Demet Eğlenoğlu , Özdemir Tunç 
Published: June 2023

Abstract
Background: With the increasing use of antenatal sonography, fetal hydronephrosis has been reported more frequently. It is important to distinguish infants with significant illness that require long-term follow-up or surgery, from those with transient hydronephrosis and minimum need for invasive investigations.
Methods: We aimed to compare the results prepared by the CAKUT Working Group of the Turkish Society of Pediatric Nephrology (TSPN) in the 2015 TSPN CAKUT Guideline with the Tepecik AH Guideline results that were previously utilized in our hospital. The patients were examined in two groups, as Group 1 (Tepecik AH Guideline) and Group 2 (TSPN CAKUT Guideline). Additional imaging needs and numbers, radiation exposures, and surgical requirement rates were compared between the groups.
Results: The VUR detection rate (38.5%) for voiding cystourethrogram (VCUG), which was less in the patients in Group 2, was significantly higher than in the patients in Group 1 (13.4%) (p=0.0002). It was found the patients who were determined to be abnormal with dimercaptosuccinic acid (DTPA) were similar in Group 1 (28.5%) and Group 2 (26.4%) (p=0.11). More obstruction was diagnosed in the patients in Group 2 (68.8%) with DTPA than in Group 1 (29.4%) (p=0.0001). The median radiation exposure (500 mrem) in Group 1 was significantly higher than in Group 2 (200 mrem) (p<0.001). It was found that significantly fewer patients were operated on in Group 2 (21.9%) than in Group 1 (34.2%) (p=0.005).
Conclusions: The TSPN CAKUT Guideline appears to be a less invasive, simpler, low-radiation exposure guide.
Calibration and uncertainty analysis of integrated SWAT-MODFLOW model based on iterative ensemble smoother method for watershed scale river-aquifer interactions assessment
Authors: Yifru Bisrat Ayalew , Lee Seoro , Lim Kyoung Jae 
Published: June 2023

Abstract
River-aquifer interaction is a key component of the hydrological cycle that affects water resources and quality. Recently, the application of integrated models to assess the interaction has been increasing. However, calibration and uncertainty analysis of coupled models has been a challenge, especially for large-scale applications. In this study, we used PESTPP-IES, an implementation of the Gauss-Levenberg-Marquardt iterative ensemble smoother, to calibrate and quantify the uncertainty of an integrated SWAT-MODFLOW model for watershed-scale river aquifer interaction assessment. SWAT-MODFLOW combines the Soil and Water Assessment Tool (SWAT), a widely used watershed model, with a three-dimensional groundwater flow model (MODFLOW). The calibration performance of the model was evaluated, and the uncertainty in the parameters and observed ensemble, including the uncertainty in forecasting groundwater levels, was assessed. The results showed that the technique could enhance the model performance and reduce uncertainty. However, the results also revealed some limitations and biases, such as overestimating the groundwater levels in most monitoring wells. These biases were attributed to the limited availability of groundwater level in the first year of the calibration and the uncertainty in groundwater flow model parameters. The river-aquifer interactions analysis shows that water exchange occurs in almost all cells along the river, with most of the high-elevation areas receiving groundwater and flatter regions discharging water to the aquifer. The study showed that PESTPP-IES is a robust technique for watershed-scale river-aquifer modeling that can ensure model calibration and parameter uncertainty analysis. The findings of this study can be used to improve water resources management in watersheds and help decision-makers in making informed decisions.
Implications of AI innovation on economic growth: a panel data study
Authors: Gonzales Julius Tan Sarcilla 
Published: June 2023

Abstract
The application of artificial intelligence (AI) across firms and industries warrants a line of research focused on determining its overall effect on economic variables. As a general-purpose technology, for example, AI helps in production, marketing, and customer acquisition of firms, increasing their productivity and consumer reach. Aside from these, other effects of AI include enhanced quality of services, improved work accuracy and efficiency, and increased customer satisfaction. Hence, this study aims to gauge the impact of AI on the economy, specifically on long-run economic growth. This study conjectures a significantly positive relationship between AI and economic growth. To test this hypothesis, this study makes use of a panel dataset of countries from 1970 to 2019, and the number of AI patents as measure of AI. A text search query is performed to distinguish AI patents from other types of innovations in a public database. Employing fixed effects and GMM estimation, this paper finds a positive relationship between AI and economic growth, which is higher than the effect of the total population of patents on growth. Furthermore, other results indicate that AI’s influence on growth is more robust among advanced economies, and more evident towards the latter periods of the dataset.
Triglyceride glucose-body mass index and hypertension risk in Iranian adults; a population-based study
Authors: Nikbakht Hamid Reza , Najafi Farid , Shakiba Ebrahim , Darbandi Mitra , Navabi Jafar , Pasdar Yahya 
Published: June 2023

Abstract
Background
Insulin resistance (IR) and obesity are risk factors for hypertension; triglyceride-glucose (TyG) is known as a surrogate for IR. The present study investigated the association between the triglyceride-glucose body mass index (TyG-BMI) index and the risk of hypertension in Iranian adults.
Methods
This study was conducted on a sample of 8,610 participants from the baseline phase of the Ravansar non- communicable diseases (RaNCD) in Iran. A logistic regression model was used to evaluate the relationship between TyG-BMI and hypertension. Receiver operating characteristic (ROC) curve analysis was conducted to estimate the predictive power of TyG-BMI for hypertension.
Results
A total of 4176 men and 4434 women with an average age of 46.74 years were examined. The anthropometric indices were significantly higher in hypertensive than normotensive subjects (P < 0.001). The level of physical activity was significantly higher in the bottom quartiles (P < 0.001). The odds of hypertension in the highest quartile and 3.10 (95% CI: 2.28, 4.16) times significantly higher than the bottom quartile of the TyG-BMI index. The discriminating ability of TyG-BMI to predict blood pressure was 61% (AUC: 0.61; 95% CI: 0.57, 0.63), and higher than BMI and TyG.
Conclusion
The TyG-BMI index is associated with an increase in the odds of hypertension. Therefore, the TyG-BMI index can be a new clinical index for early diagnosis of hypertension. Lifestyle modifications such as weight control through physical activity and a healthy diet can help improve IR and prevent hypertension.
Effects of collagen supplementation on body composition and muscle strength in Korean adults aged 50 years and older
Authors: Park Jeong Bin 
Published: June 2023

Abstract
BACKGROUND: Insufficient protein intake can accelerate the loss of muscle mass as one ages. A decrease in muscle mass leads to an increase in fat mass, creating a vicious cycle that can result in sarcopenic obesity. Previous studies that have used collagen as a supplementation, which accounts for about 30% of the body's protein, have combined it with resistance exercise.
OBJECTIVE: This study investigated the effects of collagen supplementation on body composition in individuals over the age of 50, while maintaining their daily activity levels constant.
DESIGN: Double-blind randomized controlled trial
PARTICIPANTS: Participants were assigned to either the collagen group (n=42) or the placebo group(n=42).
MEASUREMENTS: Collagen supplementation (14g of collagen) and placebo product (xanthan gum) were offered to collagen group and placebo group respectively, once a day. Body composition was measured by bioelectrical impedance analysis and dual-energy X-ray absorptiometry. Participants were instructed to maintain their dietary intake and physical activity levels, which were evaluated through a 3-day food record analysis and an international physical activity questionnaire (IPAQ) analysis, respectively.
RESULTS: 74 participants in the collagen group (n=37) and placebo group (n=37) completed the follow-up, and there was no significant difference between the two groups in terms of physical activity levels. The collagen group showed a significant reduction in total body fat mass compared to the placebo group, as evidenced by both BIA (P=0.021) and DEXA (P=0.041) measurements. However, there was no significant difference between the two groups in terms of muscle mass.
Conclusion: From this study, the consumption of collagen supplementation is effective in reducing fat mass, which is significant in preventing sarcopenic obesity after middle age.
Physiologically-Based Pharmacokinetic Modeling for Optimal Dosage Prediction of Olaparib When Co-administered with CYP3A4 Modulators and in Patients with Hepatic/Renal Impairment
Authors: Gao Dongmei , wang Guopeng , Ren Jiawei , Wu Honghai 
Published: June 2023

Abstract
This study aimed to develop a physiologically based pharmacokinetic (PBPK) model to predict the maximum plasma concentration (Cmax) and trough concentration (Ctrough) at steady-state of olaparib (OLA) in Caucasian, Japanese and Chinese. On top of that, the PBPK model was then combined with the mean and 95% confidence interval to predict optimal dosing regimens of OLA when co-administered with CYP3A4 modulators and administered in patients with hepatic impairment based on safety and efficacy PK threshold Cmax (< 12500 ng/mL) and Ctrough (772–2500 ng/mL). Here, the population PBPK model of OLA has been successfully developed and validated based on the prediction good consistent with the clinically observed data. The ratio of prediction to observation for Cmax and Ctrough was between 0.5 and 2.0. The dosing regimens of OLA should be reduced to 100 mg BID and 150 BID, respectively, when dosed with a strong or moderate CYP3A4 inhibitor. Additionally, the PBPK model also suggested that OLA should be permitted with CYP3A4 inducer (strong or moderate).The PBPK model also suggested that dosing regimens of OLA should be reduced to 200 mg BID and 150 mg BID in patients with moderate hepatic and renal impairment. In addition, in patients with severe hepatic and renal impairment, dosing regimens of OLA were suggested to be reduced to 100 mg BID by the PBPK model. Overall, the present PBPK model can identify the optimal dosing regimens in multiple clinical situations.