bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shannon Entropy of Performance Metrics to Choose the Best Novel Hybrid Algorithm to Predict Groundwater Level (Case study: Tabriz plain, Iran)
Authors: Saroughi Mohsen , Achite Mohammed , Mirzania Ehsan , Katipoğlu Okan Mert , Ehteram Mohammad 
Published: June 2023

Abstract
Predicting groundwater level (GWL) fluctuations, which act as a reserve water reservoir, Particularly in arid and semi-arid climates, is vital in water resources management and planning. Within the scope of current research, a novel hybrid algorithm is proposed for estimating GWL values in the Tabriz plain of Iran by combining the artificial neural network (ANN) algorithm with newly developed nature-inspired Coot and Honey Badger metaheuristic optimization algorithms. Various combinations of meteorological data such as temperature, evaporation and precipitation, previous GWL values, and the month and year values of the data were used to evaluate the algorithm's success. Furthermore, shannon entropy of performance of models was assessed according to 44 different statistical indicators which is classified into two class: accuracy and error class. Hence, based on high value of Shannon entropy, the best statistical indicator was selected and the results of best model and selecting the best scenario were analyzed. Results indicated that value of Shannon entropy is higher for accuracy class than error class. Also, for accuracy and error class respectively, Akaikes Information Criterion (AIC) and Residual Sum of Squares (RSS) indexes with the highest entropy value which is equal to 12.72 and 7.3 are the best indicators of both classes and Legate-McCabe Efficiency (LME) and Normalized Root Mean Square Error-mean (NRMSE-Mean) indexes with the lowest entropy value which is equal to 3.7 and -8.3 are the worst indicators of both classes. According to the results of evaluation best indicator in the testing phase, AIC indicator value for HBA-ANN, COOT-ANN, and the stand-alone ANN models is equal to -344, -332.8, -175.8, respectively. Furthermore, it was revealed that the proposed metaheuristic algorithms significantly ameliorate the performance of the stand-alone ANN model and offered satisfactory GWL prediction results.
Finally, it was concluded that the Honey Badger optimization algorithm showed superior results than the Coot optimization algorithm in GWL prediction.
The change of diabetic macular edema post vitrectomy in patients with proliferative diabetic retinopathy
Authors: Zhou Han tao , Mei Jing hao , Lin Ke , Deng Chu ying , Lin Wei , Lin Zu shun , Lin Jue , wu ronghan , lin zhong 
Published: June 2023

Abstract
Purpose To investigate the change of diabetic macular edema (DME) post vitrectomy and its risk factors.Methods Retrospective study design. This study included 365 eyes of 330 patients who underwent vitrectomy for proliferative diabetic retinopathy with gradable optical coherence tomography imaging from January 2018 to March 2022. The incidence of post vitrectomy DME (PV-DME) was defined as patients with a central retinal thickness (CRT) > 300 µm by optical coherence tomography among patients without preoperative DME.Results The cumulative incidence of PV-DME at 3 months was 40.1% (89/222), with its majority subtype of single diffused retinal thickening (66.2%) followed by single cystoid macular edema (27.0%). Multivariate Cox regression analysis indicated that a thicker preoperative CRT (HR = 1.01, 95% CI 1.00–1.02) and intraoperative internal limiting membrane peeling (HR = 3.18, 95% CI 1.85–5.47) were associated with the presence of PV-DME, while intraoperative intravitreal injection of triamcinolone acetonide (HR = 0.28, 95% CI 0.13–0.57) was protective against PV-DME. In eyes with preoperative DME (n = 143), the CRT decreased gradually from 468.3 ± 177.7 µm preoperatively to 409.5 ± 151.0 µm (P = 0.027), 377.4 ± 141.9 µm (P < 0.001), and 368.0 ± 157.6 µm (P < 0.001) at 7 days, 1 month, and 3 months postoperatively, respectively. Multivariate linear regression analysis indicated that only a thicker preoperative CRT (β = 0.77, 95% CI 0.63–0.92) was associated with a decreasing postoperative CRT.Conclusion PV-DME is a very common postoperative complication in patients with proliferative diabetic retinopathy. Triamcinolone acetonide could prevent its formation. Attention should be paid to patients with a thicker preoperative CRT and internal limiting membrane peeling.
Multi-Class Prediction of a Weighted Time-Varying Association Using Artificial Neural Network in Smart Health Environment
Authors: Patra Abhimanyu , Mishra Sarojananda , Senapati Manas Ranjan , BEHERA RAJESH KUMAR , Pani Subhendu Kumar 
Published: June 2023

Abstract
Computerization has been a need in recent years. As a result, massive amounts of digital data have been accumulated in practically every industry. Data mining approaches have arisen to serve with this rich data and sparse informations. Data-mining is a process that uses computers to extract and examine hidden patterns in data. Users may understand and benefit from this data mining process of knowledge discovery. According to the value associated with each property, different weights are allocated to those attributes. Weights assigned by the doctors are taken into consideration in this investigation. The first technique given is multiclass weighted associative classification with confidence-based rule ranking, while the second strategy is enhanced, genetic-based rule selection presented as a final step is a distributed multiclass weighted associative classifier. The distributed weighted associative classification is utilized as a consequence of the findings that lower the cost of communication while maintaining the benefit of the centralized approach. The multi class classification's accuracy % rises while using weighted associative classification.
Enhance arsenic adsorptions by optimizing Fe-loaded biochar and preliminary application in paddy soil under different water management strategies
Authors: Xu Yijie , Huang Manjie , Wang hongyan , Sun Guoxin , Kumar Amit , Yu Zhiguo 
Published: June 2023

Abstract
Arsenic (As) is widely distributed in nature and is a highly toxic element impacting human health through drinking water and rice. In this study, an optimized approach was attempted to improve As adsorption capabilities by combining pre-and-post-pyrolysis modification of Fe(oxy)hydroxides to rice husk biochar (FRB). Maghemite and goethite were successfully loaded onto biochar, characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), and X-ray photoemission spectroscopy (XPS) analyzer. The FRB had maximum As(III) and As(V) adsorption capabilities of 7908 and 11268 mg/kg respectively, which is significantly higher than that of Fe-modified biochar in the pre-pyrolysis and/or post-pyrolysis process. Adsorption mechanisms for As explored by Fourier-transform infrared spectroscopy (FTIR), XPS analysis mainly included electronical attraction and ligand exchange with hydroxyl groups on the FRB. It was noteworthy that more than half of the As(Ⅲ) species loaded on FRB were converted into less toxic As(Ⅴ) species. The result stated that FRB has an effective remediation potential for As-contaminated soil under flooded conditions while promoted As release under dry conditions. Finding of this study highlighted that the loading of metal oxides onto biochar by combining pre-and-post pyrolysis modification could potentially increase As adsorption capabilities, and further helps in strategic water management.
Effect of Antecedent Hypertension on Mortality after Acute Coronary Syndromes in Coronary Intervention Era: A Meta-analysis
Authors: Qi Shanshan , Zhan Youqin , Chen Yanjun , Xu Tan 
Published: June 2023

Abstract
Background Effect of antecedent hypertension on mortality after acute coronary syndromes (ACS) in the percutaneous coronary intervention (PCI) era is less clear. The aim of this meta-analysis was to assess effect of antecedent hypertension on short and long-term mortality after ACS in the coronary intervention era.Methods PubMed, Medline, EMBASE and the Cochrane library were systematically searched up to April 2023. Ten studies with total of 64, 989 of patients met the inclusion criteria. The outcomes of interest were (i) all-cause in-hospital mortality; (ii) long-term all- cause mortality.Results No significant difference was observed in in-hospital mortality between antecedent hypertension group and non-antecedent hypertension with pooled odds ratio (OR): 1.07, 95% confidence interval (CI): 0.79–1.45; I2 = 82%, the same as ST elevation myocardial infarction (STEMI) group (pooled OR: 1.01, 95% CI: 0.73– 1.39; I2 = 66%). However, result was statistically significant for non-ST elevation myocardial infarction (NSTE-ACS) patients, with pooled OR: 0.67, 95% CI: 0.55–0.82; p = 0.0001, I2 = 0%. Antecedent hypertension was related to increased long-term mortality of patients with ACS (pooled OR 1.28, 95% CI 1.16–1.40, p = 0.0001; I2 = 0%), the same as STEMI subgroups.Conclusion In PCI era antecedent hypertension was associated with higher long-term mortality in ACS patients, but no significant difference was observed in in-hospital mortality between hypertension and non- hypertension. However, for NSTE-ACS patients’ antecedent hypertension may be a protective factor related to in- hospital mortality.
Support Effects in Cu-Mn mixed-oxide Catalysts on Ozone Decomposition under Ambient Temperature
Authors: Li Yunhe , Li Hao , Zhao Baogang , Ma Yanming , Liang Peiyuan , Sun Tianjun 
Published: June 2023

Abstract
Catalytic decomposition is widely regarded as an optimal solution for surface ozone removal. However, catalyst still faces challenges such as poisoning and deactivation in the high humidity environment. Furthermore, the catalytic environment created by the mixed oxides can provide greater clarity regarding their synergistic effects on catalytic ozone decomposition. Support effects on the catalytic ozone decomposition were investigated under ambient temperature, high GHSV, and high humidity levels using the Cu-Mn mixed-oxide catalysts prepared through a simple coprecipitation method. The characterizations revealed that the addition of SiO2 improved the crystallinity of the CuMn2O4 spinel, and resulted in a larger specific surface area, abundant oxygen vacancies, a lower oxidation state of Mn, and an increase in active oxygen species. The Cu-Mn/SiO2 catalyst exhibited remarkable performance on ozone decomposition, achieving 98% ozone conversion and stability for 10 hours under ambient temperature, even when exposed to a gas hourly space velocity of 300 L·g− 1·h− 1 and an RH of 85%. This study deepens the understanding of the catalyst, and offers significant revelations into the creation of water-resistant catalysts with superior performance.
Porous polymer magnetic adsobents for dye wastewater treatment
Authors: Xue Tao , Shao Feifei , Miao Han , Li Xinxin 
Published: June 2023

Abstract
The recent decade has witnessed adsorption technology emerging as an advanced dye wastewater treatment method with great potential and a grand blueprint, in which the specific surface area and active sites of the adsorbent are considered to be the two most important characteristics largely impacting the adsorption performance. Therefore, two kinds of magnetic porous adsorbents (HSF and HSVF) with different specific surface areas and activity sites were fabricated. Both of them exhibit excellent performance with remarkable adsorption capacities for negative dye Sunset yellow (SY). Furthermore, their adsorption kinetic and isotherm were further studied and compared in detail. The results revealed that introducing strong active sites could improve the adsorption capacity and rate effectively even though sacrificing part of specific surface areas, indicating that active sites might play a dominant role during the dye adsorption process. Multiple interactions introduced by the pyridine functional group in the sample HSVF also showed synergistic effects. In addition, the adsorbents could be recycled rapidly by magnetism, which exhibited the advantages of easy-operation.
Therapeutic effect of subretinal injection of alteplase plus Conbercept for acute submacular hemorrhage secondary to polypoid choroidal vasculopathy
Authors: Mao Ziqing , Yu Xiao , Tian Xifeng , Fan Huimin , Zou Yuling , Chen Zhiping , You Zhipeng 
Published: June 2023

Abstract
Objective
To determine the effectiveness and safety of vitrectomy plus subretinal injection of alteplase(tPA) and intravitreal injection of Conbercept for treating polypoid choroidal vasculopathy (PCV) and submacular hemorrhage (SMH).
Methods
This retrospective study included 32 patients (32 eyes) with large SMH and PCV who visited our hospital from January 2021 to September 2021. All patients underwent best-corrected visual acuity (BCVA), spectral domain optical coherence tomography (SD-OCT), ultra-wide angle fundus photography, fundus fluorescein angiography, and indocyanine green angiography before surgery. They were also treated by the same fundus surgeon with subretinal injection of t-PA combined with intravitreal injection of Conbercept. BCVA, ultra-wide angle fundus photography, and SD-OCT were repeated 1, 3, 6, and 12 months. The BCVA, the macular hemorrhage, macular fovea thickness (CMT) and postoperative complications were observed.
Results
The 32 patients (32 eyes) in this study included 20 males and 18 right eyes. The bleeding size was 6.82 ± 1.53 DD, the preoperative BCVA was 1.73 ± 0.44 logMAR and the preoperative CMT was 727.96 ± 236.40µm. Relative to the preoperative, the postoperative BCVA significantly improved at 1, 3, 6, and 12 months (P < 0.001). The final BCVA and the symptom duration were negatively correlated. Thirty patients (93.75%) had complete clearance of the SMH within 1 week postoperatively. The CMT significantly decreased postoperatively (P < 0.001). The frequency of anti-VEGF was 1–8 times (average, 4.2 ± 1.8). No patient has experienced recurrent hemorrhage or other complications.
Conclusion
Subretinal injection of t-PA combined with Conbercept can significantly improve the vision of patients with large acute submacular hemorrhage secondary to PCV.
Identification of Antrophic Activity Interference in the Seismic Catalogue for Banat Region
Authors: Rau Adina Vanciu , Dinescu Raluca , Radulian Mircea , Lungu Mihail 
Published: June 2023

Abstract

Banat region is one of the most active zones in terms of crustal seismicity in Romania. Even though the active seismic monitoring started from early XXth century, the data sets got more performant with the development and expansion of the seismic network monitoring in the late 1970’s. One particularity regarding seismic data acquisition is that in many cases anthropic activity, such as mining and quarry exploitation, interferes with natural seismicity. Our aim is to bring forward a series of data extracted from the ROMPLUS catalogue to identify the anthropic interference. To this we propose a method based on multiple discrimination criteria, such as local time of event occurrence, magnitude, location in respect with the nearest exploitation site, depth and P-wave input analysis (polarity and waveform). Identifying and filtering the anthropic events from the catalogue will result in a better imaging and characterizing of the natural seismic phenomenon in Banat region improving this way the regional seismic hazard assessment.
Fundamental steps and considerations in the analysis of micro- and nanoplastics in wastewaters, sludges, and comparable matrices
Authors: Cavazzoli Simone , Ferrentino Roberta , Scopetani Costanza , Monperrus Mathilde , Andreottola Gianni 
Published: June 2023

Abstract
Micro- and nanoplastics contamination in the environment is a widely recognized problem since these particles have been found in various natural environments and in different foods and beverages. Additionally, these micro- and nanoplastics can act as carriers of harmful organic and inorganic contaminants and pathogens, potentially posing risks to human and ecosystem health. To evaluate the risks posed by plastic pollution, the scientific community must establish standardized methods for quantifying and monitoring the presence and movement of micro- and nanoplastics in the environment. This review discusses the strengths and limitations of commonly used methods for studying these particles in wastewaters, sludges, and similar environmental samples, as well as suggesting potential solutions to address any shortcomings. The final section delves into the chemicals and pathogens linked to plastic particles, and the techniques used to analyse them.
Overcoming Fermionic Sign Problem in Quantum Monte Carlo Computations: Reference System Method
Authors: Iskakov Sergei , Katsnelson Mikhail , Lichtenstein Alexander 
Published: June 2023

Abstract
We have developed a novel strong-coupling perturbation scheme for a general doped Hubbard model around a particle-hole-symmetric reference system, which is free from the fermionic sign problem. Our approach is based on the lattice determinantal Quantum Monte Carlo (QMC) method in both continuous and dis- crete time versions for large periodic clusters in a fermionic bath. By considering the first-order perturbation in the shift of the chemical potential and the second- neighbour hopping, we are able to obtain an accurate electronic spectral function for a range of parameters that correspond to optimally doped cuprate systems at temperatures of up to T = 0.1t, which are challenging to access using straightfor- ward lattice QMC calculations. We also discuss the formation of the pseudogap and the nodal-antinodal dichotomy for a doped Hubbard system with the interac- tion parameter U equal to the bandwidth and the optimal value of the next-nearest- neighbor hopping parameter t′ for high-temperature superconducting cuprates.
Evaluation of metal pollution related with human health risk in freshwater snail Viviparus contectus (Millet, 1813) as a potential bioindicator species in Lake Habitat
Authors: KOCABAŞ Filiz KUTLUYER , AKSU Emsiye GÖKTÜRK , KOCABAŞ Mehmet 
Published: June 2023

Abstract
For the humankind, water quality of natural resources is the most important and freshwater molluscs are used as bioindicators for the evaluation of water quality in biomonitoring studies. Viviparus contectus (Viviparidae: Gastropoda) is a species freshwater snail and consumed by people. Herein, the concentrations of heavy metals heavy metal (Cd, Cr, Pb, As, Zn and Cu) were measured in water and Viviparus contectus samples. The water quality (temperature, pH, and dissolved oxygen) were seasonally determined in water samples. The present study showed that the metal accumulation in the water and soft tissues of freshwater snail were in the order of Pb > Cr = Zn = Cu = Cd = As and Zn > Cu > Pb > Cd > As = Cr, respectively. The elevated levels of heavy metals (As, Cr, Cu, Zn and Hg) were recorded in autumn. Seasonal variations affected significantly Pb concentration in the freshwater snail samples (P < 0.05). EDI (estimated daily intake) values were lower than the recommended tolerable daily intake (TDI) values for adults and the values of HI (hazard index) were lower than 1 for adults. Zn and Pb values in freshwater snail samples were above the limits according to the Turkish Food Codex, FAO/WHO, JECFA and EC limit values. The water analysis indicates mean concentrations of metals below the maximum permissible limits established by the World Health Organization, Turkish Pollution Control Regulation and USEPA, except Pb. Overall, anthropogenic activities adversely affected aquatic ecosystems and this study can be provided a useful data set for metallic contamination in aquatic bodies and biomonitoring studies in freshwater ecosystems.
Saikosaponin D Increases Temozolomide Sensitivity of Glioblastoma via ER Stress-Induced Apoptosis and Autophagy
Authors: Liu Guimei , Liu Xiaobin , Zheng Rui , Zhang Yufu , Han Jiaqi , Guan Yuehong , Guo Shutong , Wang Mingming , Liu Yongxian , Wang Yaping , Zhang Jing , Liu Yusi 
Published: June 2023

Abstract
Background:
Glioblastoma multiforme (GBM) is a primary aggressive brain tumor with high morbidity and mortality. Temozolomide (TMZ) has been applied to the treatment of GBM for over a decade, but TMZ resistance is a major obstacle to preventing the recurrence of GBM after surgery. In this study, the effect of Saikosaponin D (SSD) on increasing TMZ sensitivity was investigated by activating the endoplasmic reticulum (ER) stresspathway.
Methods:
Three GBM cell lines with different sensitivities were selected, including rat RG-2 cells, human U251 cells, and LN-428 cells. Cell viability was detected by the Cell Counting Kit-8 (CCK-8) assay and the plate cloning assay method. Cell morphology was observed by hematoxylin and eosin (HE) staining. The apoptosis and autophagy of GBM cells were determined by Hoechst 33258 and MDC fluorescent staining. The expression and distribution of ER stress proteins (GRP78, CHOP, PERK and ATF6) were detected by Western blotting (WB) and immunocytochemistry (ICC). Meanwhile, the expression and distribution of apoptosis proteins (Caspase-12, Caspase-9, and Caspase-3) and autophagy proteins (Beclin-1 and LC3) were also examined by WB and ICC.
Results:
The CCK-8 proliferation experiment and HE staining results confirmed that TMZ could inhibit the proliferation of GBM cells with the increase of the treatment time and dose. The highest inhibition rate was observed in RG-2 cells, while LN-428 cells exhibited poor sensitivity. Besides, the combined treatment with SSD and TMZ (SSD+TMZ) significantly promoted the apoptosis of GBM cells, compared with single drug administration groups. In addition, the WB experiment results suggested that the expression of ER stress-related proteins (PERK, ATF6, GRP78, and CHOP) was up-regulated. Moreover, apoptotic bodies and damaged nuclei were observed under Hoechst 3328 staining in the SSD+TMZ treatment group. Furthermore, the WB results revealed that Caspase-3, Caspase-9, and Caspase-12 were cleaved, and the expression of these cleaved bodies was up-regulated after the SSD+TMZ treatment. Autophagosomes were observed under MDC staining, and the expression of autophagy proteins (LC3 and Beclin-1) was up-regulated. These results indicated that SSD enhanced TMZ sensitivity of GBM cells via ER stress-induced apoptosis and autophagy.
Hypericin-mediated regulation of miR21 and miR34a and their target genes in MCF7 breast cancer cells
Authors: Norouzi Raana , Ghotbzadeh-kermani Sepideh , Abbaspour Hossein 
Published: June 2023

Abstract
Background: Hypericin is a polyphenolic compound derived from Hypericum perforatum that exhibits anticancer activity in various cancer cell types. The molecular mechanisms of hypericin action on breast cancer cells are unclear. We investigated the effects of hypericin on MCF7 human breast cancer cells and the potential role of miR21 and miR34a in mediating these effects.
Methods and Results: We evaluated the cell viability of MCF7 cells exposed to different concentrations of hypericin for 24 and 48 hours by XTT assay. e treated MCF7 cells with 5 µg/mL concentration of hypericin for 24 hours. We then measured the expression levels of miR21, miR34a, and their target genes PTEN, BCL2, TP53, and CDK4 at both mRNA and protein levels by qRT-PCR and western blotting. Hypericin decreased the cell viability and increased the apoptosis rate of MCF7 cells in a dose- and time-dependent manner. Hypericin also modulated the expression levels of miR21 and miR34a in MCF7 cells. Hypericin upregulated the expression levels of PTEN and TP53 and downregulated the expression levels of BCL2 and CDK4 in MCF7 cells. The changes in gene expression were consistent with the changes in protein expression.
Conclusion: Hypericin induces anticancer effects on MCF7 human breast cancer cells by reducing cell viability, inducing apoptosis, modulating miR21 and miR34a expression, and regulating PTEN, BCL2, TP53, and CDK4 expression. Our findings reveal novel molecular targets and pathways for hypericin action on breast cancer cells and suggest that hypericin may be a promising therapeutic agent for breast cancer treatment.