bluuebunny/crossref_metadata_2025 huggingface dataset:
The Emergence of Carbapenem- and Colistin-Resistant Enterobacteria in Senegal
Authors: Sarr Habibou , Niang Aissatou Ahmet , Diop Amadou , Mediannikov Oleg , Zerrouki Hanane , Diene Seydina M. , Lo Seynabou , Dia Mouhamadou Lamine , Sow Ahmad Iyane , Fenollar Florence , Rolain Jean-Marc , Hadjadj Linda
Published: July 2023

Antibiotic resistance is a public health problem. The emergence of carbapenemase-producing Enterobacterales (CPE) infections is a concern, particularly in Senegal. (1) Methods: Between January 2019 and July 2022, 240 isolates of enterobacteria resistant to third-generation cephalosporins and imipenem from biological samples from Fann Hospital (Dakar) and Hôpital Paix (Ziguinchor) were selected. The isolates were identified by MALDI-TOF mass spectrometry, and susceptibility tests were performed by the disk diffusion method. Antibiotic-resistance genes for class A beta-lactamases, carbapenemases, and plasmid resistance to colistin resistance (mcr-1–8) were screened by RT-PCR. (2) Results: The 240 enterobacteria were composed of: Escherichia coli (60.83%), Klebsiella pneumoniae (21.67%), Enterobacter cloacae (13.75%), Citrobacter freundii (2.08%), Serratia marcescens (0.83%), Klebsiella aerogenes (0.42%), and Proteus mirabilis (0.42%). Class A beta-lactamase genes were found in 229 isolates (70.41% blaTEM, 37.5% blaSHV, 83.75% blaCTX-A, and 0.42% blaCTX-B). The carbapenemase genes blaOXA-48 and blaNDM were found in 25 isolates, including 14 isolates with blaOXA-48, 13 isolates with blaNDM, and 2 isolates with both genes simultaneously. The mcr-8 gene was found in one isolate of E. cloacae. (3) Conclusions: The epidemiology of antibiotic-resistance genes in enterobacteria in Senegal shows the emergence of CPEs. This phenomenon is worrying, and rigorous surveillance is necessary to avoid further spread.
Extensive Drug Resistance of Strong Biofilm-Producing Acinetobacter baumannii Strains Isolated from Infections and Colonization Hospitalized Patients in Southern Poland
Authors: Kasperski Tomasz , Romaniszyn Dorota , Jachowicz-Matczak Estera , Pomorska-Wesołowska Monika , Wójkowska-Mach Jadwiga , Chmielarczyk Agnieszka
Published: July 2023

Acinetobacter baumannii (AB) is a bacterium that causes infections, particularly in immunocompromised patients. Treatment is challenging due to biofilm formation by AB strains, which hinders antibiotic effectiveness and promotes drug resistance. The aim of our study was to analyze the biofilm-producing capacity of AB isolates from various forms of infections in relation to biofilm-related genes and their drug resistance. We tested one hundred isolates for biofilm formation using the crystal violet microplate method. Drug resistance analyses were performed based on EUCAST and CLSI guidelines, and biofilm genes were detected using PCR. All tested strains were found to form biofilms, with 50% being ICU strains and 72% classified as strong biofilm producers. Among these, 87% were extensively drug-resistant (XDR) and 2% were extra-extensively drug-resistant (E-XDR). The most common gene set was bap, bfmS, csuE, and ompA, found in 57% of all isolates. Our research shows that, regardless of the form of infection, biofilm-forming strains can be expected among AB isolates. The emergence of E-XDR and XDR strains among non-ICU infections highlights the necessity for the rational use of antibiotics to stop or limit the further acquisition of drug resistance by A. baumannii.
Treating Epilepsy with Natural Products: Nonsense or Possibility?
Authors: Malaník Milan , Čulenová Marie , Sychrová Alice , Skiba Adrianna , Skalicka-Woźniak Krystyna , Šmejkal Karel
Published: July 2023

Epilepsy is a neurological disease characterized by recurrent seizures that can lead to uncontrollable muscle twitching, changes in sensitivity to sensory perceptions, and disorders of consciousness. Although modern medicine has effective antiepileptic drugs, the need for accessible and cost-effective medication is urgent, and products derived from plants could offer a solution. For this review, we have focused on natural compounds that have shown anticonvulsant activity in in vivo models of epilepsy at relevant doses. In some cases, the effects have been confirmed by clinical data. The results of our search are summarized in tables according to their molecular targets. We have critically evaluated the data we present, identified the most promising therapeutic candidates, and discussed these in the text. Their perspectives are supported by both pharmacokinetic properties and potential interactions. This review is intended to serve as a basis for future research into epilepsy and related disorders.
Chronotherapeutics for Solid Tumors
Authors: Kisamore Claire O. , Elliott Brittany D. , DeVries A. Courtney , Nelson Randy J. , Walker William H.
Published: July 2023

Circadian rhythms are internal manifestations of the 24-h solar day that allow for synchronization of biological and behavioral processes to the external solar day. This precise regulation of physiology and behavior improves adaptive function and survival. Chronotherapy takes advantage of circadian rhythms in physiological processes to optimize the timing of drug administration to achieve maximal therapeutic efficacy and minimize negative side effects. Chronotherapy for cancer treatment was first demonstrated to be beneficial more than five decades ago and has favorable effects across diverse cancer types. However, implementation of chronotherapy in clinic remains limited. The present review examines the evidence for chronotherapeutic treatment for solid tumors. Specifically, studies examining chrono-chemotherapy, chrono-radiotherapy, and alternative chronotherapeutics (e.g., hormone therapy, TKIs, antiangiogenic therapy, immunotherapy) are discussed. In addition, we propose areas of needed research and identify challenges in the field that remain to be addressed.
Development of Nonwoven Fibrous Materials Based on Poly-3-Hydroxybutyrate with a High Content of α-Tricalcium Phosphate
Authors: Tyubaeva Polina M. , Gasparyan Kristina G. , Fedotov Alexander Yu. , Lobzhanidze Pavel V. , Baranov Oleg V. , Egorov Alexey A. , Sirotinkin Vladimir P. , Komlev Vladimir S. , Olkhov Anatoly A.
Published: July 2023

α-tricalcium (α-TCP) phosphate is widely used as an osteoinductive biocompatible material, serving as an alternative to synthetic porous bone materials. The objective of this study is to obtain a highly filled fibrous nonwoven material composed of poly-3-hydroxybutyrate (PHB) and α-TCP and to investigate the morphology, structure, and properties of the composite obtained by the electrospinning method (ES). The addition of α-TCP had a significant effect on the supramolecular structure of the material, allowing it to control the crystallinity of the material, which was accompanied by changes in mechanical properties, FTIR spectra, and XRD curves. The obtained results open the way to the creation of new osteoconductive materials with a controlled release of the source of calcium into the living organism.
Particulate Filler and Discontinuous Fiber Filler Resin Composite’s Adaptation and Bonding to Intra-Radicular Dentin
Authors: Ferrari Marco , Lettieri Eugenia , Pontoriero Denise Irene Karin , Vallittu Pekka , Ferrari Cagidiaco Edoardo
Published: July 2023

The aim of this study was to assess adaptation and bonding to root canal dentin of discontinuous (short) glass fiber-reinforced composite to intra-radicular dentin (DSGFRC). Methods: Seventy virgin human teeth were extracted and then endodontically treated; then samples were randomly divided into 7 groups (n = 10), based on the materials’ combinations as follows: Group 1, a two-bottle universal adhesive + DSGFRC; Group 2, a single-component universal adhesive + DSGFRC; Groups 3 and 4, the same materials of Goups 1 and 2 were used but after cleaning of the canal walls with 17% EDTA and final irrigation with 5.25% NaOCl Ultrasound Activated (UA); Group 5, traditional prefabricated fiber posts were luted after being silanized with G-Multi Primer; Groups 6 and 7, like Group 5 but after ultrasonic irrigation (UA). All sample roots were cut 1 mm thick (n = 10) to be evaluated regarding root canal adaptation using a light microscope and scanning electron microscope (SEM) and push-out bond strength. These results were statistically analyzed by Kruskal–Wallis analysis of variance by ranks. The level of significance was set at p < 0.05. Results: Bond strength forces varied between 6.66 and 8.37 MPa and no statistically significant differences were recorded among the groups. By microscopic examination, it was noted that ultrasonic irrigation increased the adaptation of the materials to the dentin surface. Conclusions: Within the limitations of this in vitro study, it may be concluded that when DSGFRC was used for intracanal anchorage in the post-endodontic reconstruction, similar push-out retentive force and strength to those of traditional fiber posts cemented with particulate filler resin composite cements were achieved.
Fabrication and Validation of a 3D Portable PEGDA Microfluidic Chip for Visual Colorimetric Detection of Captured Breast Cancer Cells
Authors: Guo Mingyi , Deng Yan , Huang Junqiu , Huang Yanping , Deng Jing , Wu Huachang
Published: July 2023

To guide therapeutic strategies and to monitor the state changes in the disease, a low-cost, portable, and easily fabricated microfluidic-chip-integrated three-dimensional (3D) microchamber was designed for capturing and analyzing breast cancer cells. Optimally, a colorimetric sensor array was integrated into a microfluidic chip to discriminate the metabolites of the cells. The ultraviolet polymerization characteristic of poly(ethylene glycol) diacrylate (PEGDA) hydrogel was utilized to rapidly fabricate a three-layer hydrogel microfluidic chip with the designed structure under noninvasive 365 nm laser irradiation. 2-Hydroxyethyl methacrylate (HEMA) was added to the prepolymer in order to increase the adhesive capacity of the microchip’s surface for capturing cells. 1-Vinyl-2-pyrrolidone (NVP) was designed to improve the toughness and reduce the swelling capacity of the hydrogel composite. A non-toxic 3D hydrogel microarray chip (60 mm × 20 mm × 3 mm) with low immunogenicity and high hydrophilicity was created to simulate the real physiological microenvironment of breast tissue. The crisscross channels were designed to ensure homogeneous seeding density. This hydrogel material displayed excellent biocompatibility and tunable physical properties compared with traditional microfluidic chip materials and can be directly processed to obtain the most desirable microstructure. The feasibility of using a PEGDA hydrogel microfluidic chip for the real-time online detection of breast cancer cells’ metabolism was confirmed using a specifically designed colorimetric sensor array with 16 kinds of porphyrin, porphyrin derivatives, and indicator dyes. The results of the principal component analysis (PCA), the hierarchical cluster analysis (HCA), and the linear discriminant analysis (LDA) suggest that the metabolic liquids of different breast cells can be easily distinguished with the developed PEGDA hydrogel microfluidic chip. The PEGDA hydrogel microfluidic chip has potential practicable applicability in distinguishing normal and cancerous breast cells.
Thermal-Hydraulic Characteristics of Carbon Dioxide in Printed Circuit Heat Exchangers with Staggered Airfoil Fins
Authors: Xi Kun , Zhao Xiang , Xie Zhihui , Meng Fankai , Lu Zhuoqun , Ji Xiangkun
Published: July 2023

Airfoil fin printed circuit heat exchangers (PCHEs) have broad application prospects in the naval, aerospace, electric power, and petrochemical industries. The channel structure is a critical factor affecting their thermal-hydraulic characteristics. In this study, a novel PCHE channel structure with staggered NACA 0025 airfoil-shaped fins was proposed; accordingly, the thermal-hydraulic characteristics of the novel channel structure using carbon dioxide as the working fluid at different fin heights under different operating conditions (trans-, near-, and far-critical) were investigated. The results indicated that the thermal-hydraulic performance of the PCHE under the trans-critical operating condition was better than that under the near-critical and far-critical operating conditions. Compared with conventional airfoil fin channels, the novel airfoil fin channel attained comparable comprehensive performance while reducing the fin volume by 50%, thus achieving a more lightweight PCHE design. The comprehensive performance of the PCHE was the poorest when the fin height was slightly below the channel height, which should be avoided during the design of airfoil fin PCHEs. The results provide theoretical support for the design and optimization of airfoil fin PCHEs.
DPPH Radical Scavenging Assay
Authors: Gulcin İlhami , Alwasel Saleh H.
Published: July 2023

Today, there is an increasing interest in antioxidants, especially to prevent the known harmful effects of free radicals in human metabolism and their deterioration during processing and storage of fatty foods. In both cases, natural-source antioxidants are preferred over synthetic antioxidants. So, there has been a parallel increase in the use of assays to estimate antioxidant efficacy in human metabolism and food systems. Today, there are many bioanalytical methods that measure the antioxidant effect. Of these, the 1,1-diphenyl-2-picrylhydrazil (DPPH) removing assay is the most putative, popular, and commonly used method to determine antioxidant ability. In this review, a general approach to the DPPH radical scavenging assay has been taken. In this context, many studies, including attempts to adapt the DPPH radical scavenging method to different analytes, search for the highest antioxidant activity values, and optimize the method of measurement, have previously been performed. Therefore, it is highly important to introduce measures aimed at standardizing the conditions of the DPPH radical scavenging activity, including the various reaction media suitable for this assay. For this aim, the chemical and basic principles of DPPH free radical scavenging are defined and discussed in an outline. In addition, this study describes and defines the basic sections of DPPH free radical scavenging in food and biological systems. Additionally, some chemical, critical, and technical details of the DPPH free radical removal method are given. This is a simple assay in which the prospective compounds or herbal extracts are mixed with the DPPH solution and their absorbance is measured after a certain period. However, despite rapid advances in instrumental techniques and analysis, this method has not undergone extreme modification. This study presents detailed information about the DPPH method and an in-depth review of different developments.
A Novel Cellular Network Traffic Prediction Algorithm Based on Graph Convolution Neural Networks and Long Short-Term Memory through Extraction of Spatial-Temporal Characteristics
Authors: Chen Geng , Guo Yishan , Zeng Qingtian , Zhang Yudong
Published: July 2023

In recent years, cellular communication systems have continued to develop in the direction of intelligence. The demand for cellular networks is increasing as they meet the public’s pursuit of a better life. Accurate prediction of cellular network traffic can help operators avoid wasting resources and improve management efficiency. Traditional prediction methods can no longer perfectly cope with the highly complex spatiotemporal relationships of the current cellular networks, and prediction methods based on deep learning are constantly growing. In this paper, a spatial-temporal parallel prediction model based on graph convolution combined with long and short-term memory networks (STP-GLN) is proposed to effectively capture spatial-temporal characteristics and to obtain accurate prediction results. STP-GLN is mainly composed of a spatial module and temporal module. Among them, the spatial module designs dynamic graph data based on the principle of spatial distance and spatial correlation. It uses a graph convolutional neural network to learn the spatial characteristics of cellular network graph data. The temporal module uses three time series based on the principle of temporal proximity and temporal periodicity. It uses three long and short-term memory networks to learn the temporal characteristics of three time series of cellular network data. Finally, the results learned from the two modules are fused with different weights to obtain the final prediction results. The mean absolute error (MAE), root mean square error (RMSE), and R-squared (R2) are used as the performance evaluation metrics of the model in this paper. The experimental results show that STP-GLN can more effectively capture the spatiotemporal characteristics of cellular network data; compared with the most advanced model in the comparison model on the real cellular traffic dataset in one cell, the RMSE can be improved about 81.7%, the MAE is improved about 82.7%, and the R2 is improved about 2.2%.
In Situ Indoor Air Volatile Organic Compounds Assessment in a Car Factory Painting Line
Authors: Moura Pedro Catalão , Santos Fausto , Fujão Carlos , Vassilenko Valentina
Published: July 2023

Proper working conditions must be one of the employers’ main concerns in any type of company but particularly in work locations where the employees are chronically exposed to hazardous compounds, like factories and production lines. Regarding this challenge, the present research addresses the mapping of a car factory painting line to possibly toxic volatile organic compounds emitted by all the coatings and chemicals used during the work shifts for the future evaluation of employees’ exposure. For the first time, a Gas Chromatography–Ion Mobility Spectrometry device was employed for the in situ detection of volatile organic compounds in an automotive factory. A total of 26 analytes were detected at nine different locations, of which 15 VOCs were accurately identified. Pure chemical-grade substances were used for the development of the VOC database. Although quantitative analysis was not the goal of this study, a calibration model was presented to one analyte for exemplificative purposes. Relative intensity profiles were plotted for all locations, revealing that some indoor VOCs can reach intensity levels up to 60 times higher than in outdoor air samples. The achieved results proved that the painting line has an abundant number of VOCs emitted from different sources and may lead to serious health risks for the employees. Additional studies shall be developed in the painting line for quantitative evaluation of the existing VOCs and their influence on the employees’ health conditions.
Concurrent Biocatalytic Oxidation of 5-Hydroxymethylfurfural into 2,5-Furandicarboxylic Acid by Merging Galactose Oxidase with Whole Cells
Authors: Zhu Fan-Feng , Wang Jian-Peng , Zong Min-Hua , Zheng Zhao-Juan , Li Ning
Published: July 2023

2,5-Furandicarboxylic acid (FDCA) is an important monomer for manufacturing biobased plastics. Biocatalysis has been recognized as a sustainable tool in organic synthesis. To date, the efficiencies of most biocatalytic processes toward FDCA remain low. So, it is highly desired to develop efficient processes. In this work, a biocatalytic route toward FDCA was developed by integrating a cell-free extract of galactose oxidase variant M3–5 with a whole-cell biocatalyst harboring NAD+-dependent vanillin dehydrogenases and NADH oxidase, starting from 5-hydroxymethylfurfural. FDCA was produced in a concurrent mode with >90% yields within 36 h at 20 mM substrate concentration. In addition, biocatalytic synthesis of FDCA was performed on a preparative scale, with 78% isolated yield. The present work may lay the foundation for sustainable production of FDCA.
A Deep Learning Approach to Increase the Value of Satellite Data for PM2.5 Monitoring in China
Authors: Li Bo , Liu Cheng , Hu Qihou , Sun Mingzhai , Zhang Chengxin , Zhu Yizhi , Liu Ting , Guo Yike , Carmichael Gregory R. , Gao Meng
Published: July 2023

Limitations in the current capability of monitoring PM2.5 adversely impact air quality management and health risk assessment of PM2.5 exposure. Commonly, ground-based monitoring networks are established to measure the PM2.5 concentrations in highly populated regions and protected areas such as national parks, yet large gaps exist in spatial coverage. Satellite-derived aerosol optical properties serve to complement the missing spatial information of ground-based monitoring networks. However, satellite remote sensing AODs are hampered under cloudy/hazy conditions or during nighttime. Here we strive to overcome the long-standing restriction that surface PM2.5 cannot be obtained with satellite remote sensing under cloudy/hazy conditions or during nighttime. In this work, we introduce a deep spatiotemporal neural network (ST-NN) and demonstrate that it can artfully fill these observational gaps. We quantified the quantitative impact of input variables on the results using sensitivity and visual analysis of the model. This technique provides ground-level PM2.5 concentrations with a high spatial resolution (0.01°) and 24-h temporal coverage, hour-by-hour, complete coverage. In central and eastern China, the 10-fold cross-validation results show that R2 is between 0.8 and 0.9, and RMSE is between 6 and 26 (µg m−3). The relative error varies in different concentration ranges and is generally less than 20%. Better constrained spatiotemporal distributions of PM2.5 concentrations will contribute to improving health effects studies, atmospheric emission estimates, and air quality predictions.
Evaluation of Phytoremediation Potential of an Aquatic Macrophyte (Eichhornia crassipes) in Wastewater Treatment
Authors: Rasool Shahbaz , Ahmad Iftikhar , Jamal Aftab , Saeed Muhammad Farhan , Zakir Ali , Abbas Ghulam , Seleiman Mahmoud F. , Caballero-Calvo Andrés
Published: July 2023

Wastewater generation is a major concern, as most of it goes untreated. Industries, urban areas, and agriculture are the major contributors to wastewater. Phytoremediation is an effective method of wastewater treatment. However, the potential of local aquatic species for hyper-accumulation of heavy metals remains elusive. This study focuses on evaluating the native macrophyte Eichhornia crassipes for phytoremediation potential in different source-based water environments: freshwater (FW), industrial (IW), and urban wastewater (UW). Physico-chemical analysis was conducted on water samples (five samples from each source) along with the corresponding E. crassipes plants for assessing physiological, nutritional, and heavy metal parameters. The results showed distinct characteristics among the water sources. The FW had a high pH, and the IW exhibited elevated levels of electrical conductivity (EC: 1746 μS cm−1), total dissolved solids (TDS: 864 mg L−1), chloride (Cl−: 557.83 mg L−1), sulfate (SO4−: 137.27 mg L−1), and calcium (Ca++: 77.83 mg L−1) ions. The UW exhibited high bicarbonate (HCO3−: 123.38 mg L−1), sodium (Na+: 154 mg L−1), and potassium (K+: 37.12 mg L−1) ions. The Cd contamination exceeded World Health Organization (WHO) limits (0.003 mg L−1) in the FW (0.05 mg L−1 in FW-5) and UW (0.05 mg L−1 in UW-3); Cr contamination was higher than the permissible limits of the WHO, National Environmental Quality Standards (NEQS), and the European Union (EU) (0.05 mg L−1) in FW, IW, and UW; arsenic (As) in IW exceeded the WHO, United States Environmental Protection Agency (USEPA), and EU limits of 10 μg L−1, and Pb in UW exceeded the WHO (0.01 mg L−1), NEQS (0.05 mg L−1), and EU (0.01 mg L−1) limits. E. crassipes displayed different traits depending on the water sources. FW-grown plants had a higher biomass and chlorophyll-b content, while UW-grown plants had higher photosynthesis rates and chlorophyll-a content. Shoots accumulated more Na+, K+, and Ca++ ions than roots. Metal translocation from roots to shoots followed specific patterns for each source: the TFs of Zn = 3.62 in FW > Cd = 2.34 in UW > Cr = 1.61 and Pb = 1.29 in IW and BCFs were found in ascending order: Zn > Ni > Cd > As > Pb in FW, Cd > Zn > Ni > Cr > Pb > As in IW, and Cd > Ni > Pb > Cr > Zn > As in UW. The bioconcentration factor was higher in the roots than in the shoots. These findings suggest that E. crassipes shows promise as a phytoremediation option for heavy metal-contaminated wastewater due to its ability to thrive in harsh wastewater conditions with a higher TF > 1 and BCF > 1. Therefore, the utilization of these macrophytes holds potential for wastewater treatment.
Dynamic Evaluation of Ecological Environment Quality in Coastal Cities from the Perspective of Water Quality: The Case of Fuzhou City
Authors: Liu Xinyi , Jiang Huixian
Published: July 2023

Urbanization has led to enormous pressure on the urban ecological environment, especially in coastal cities. It is important to evaluate the ecological quality of coastal cities. We compared the remote sensing-based ecological index (RSEI) and the water benefit-based ecological index (WBEI) indices of Fuzhou City, and selected the WBEI to assess the changes in the quality of the ecological environment in Fuzhou City from 2000 to 2020 and analyzed the relevant changes in land intensity. The results show that (1) the Fuzhou WBEI outperforms the RSEI in the evaluation of ecological quality in the study area, since the WBEI takes into account water efficiency and can more accurately represent the ecological environment of coastal cities; (2) during 2000–2020, the overall trend of ecological quality in Fuzhou is better, with nonsignificant decreasing areas in the western and northern mountainous areas and a significant increasing trend in the southeast coast; and (3) different land use types influence the urban ecological environment quality, with forests and man-made surfaces having a good correlation with the WBEI. The increase in forests contributes to the improvement of urban ecological environment quality, and the conversion of high-intensity arable land and construction land decreases urban ecological environment quality. This study can provide a basic reference for the assessment of ecological environment quality in Fuzhou City and provide experience for the ecological environment assessment of coastal cities.
Soft Computing and Machine Learning-Based Models to Predict the Slump and Compressive Strength of Self-Compacted Concrete Modified with Fly Ash
Authors: Ismael Jaf Dilshad Kakasor
Published: July 2023

Self-compacted concrete (SCC) is a special type of concrete; it is a liquid mixture appropriate for structural elements with excessive reinforcement without vibration. SCC is commonly produced by increasing the paste volume and cement content. As cement production is one of the huge factors in releasing CO2 gas into the atmosphere, by-product materials such as fly ash are utilized as a cement replacement in concrete. In addition to the positive environmental impact, fly ash can maintain an excellent fresh and mechanical property. Incorporating fly ash into self-compacted concrete is widely applied in practice. However, its application is frequently limited by a lack of knowledge about the mixed material gained from laboratory tests. The most significant mechanical property for all concrete types is compressive strength (CS); also, the slump flow diameter (SL) in the fresh state is a crucial property for SCC. Hence, developing an accurate and reliable model for predicting the CS and SL is very important for saving time and energy, as well as lowering the cost. This research study proposed a projection of both the CS and SL of SCC modified with fly ash by three different model approaches: Nonlinear regression (NLR), Multi-Linear regression (MLR), and Artificial Neural Networks (ANN). In this regard, two different datasets were collected and analyzed for developing models: 308 data samples were used for predicting the CS, and 86 data samples for the SL. Each database included the same five independent parameters. The ranges for CS prediction were: cement (134.7–583 kg/m3), water-to-binder ratio (0.27–0.9), fly ash (0–525 kg/m3), sand (478–1180 kg/m3), coarse aggregate (578–1125 kg/m3), and superplasticizer (0–1.4%). The dependent parameter (CS) ranged from 9.7 to 81.3 MPa. On the other hand, the data ranges for the SL prediction included independent parameters such as cement (83–733 kg/m3), water-to-binder ratio (0.26–0.58), fly ash (0–468 kg/m3), sand (624–1038 kg/m3), coarse aggregate (590–966 kg/m3), and superplasticizer (0.087–21.84%). Also, the dependent parameter (SL) ranged from 615 to 800 m. Various statistical assessment tools, such as the coefficient of determination (R2), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Objective value (OBJ), and Scatter Index (SI), were used to evaluate the performance of the developed models. The results showed that the ANN model best predicted the CS and SL of SCC mixtures modified with fly ash. Furthermore, the sensitivity analysis demonstrated that the cement content is the most effective factor in predicting the CS and SL of SCC mixtures.
Enhancing Meteorological Drought Modeling Accuracy Using Hybrid Boost Regression Models: A Case Study from the Aegean Region, Türkiye
Authors: Gul Enes , Staiou Efthymia , Safari Mir Jafar Sadegh , Vaheddoost Babak
Published: July 2023

The impact of climate change has led to significant changes in hydroclimatic patterns and continuous stress on water resources through frequent wet and dry spells. Hence, understanding and effectively addressing the escalating impact of climate change on hydroclimatic patterns, especially in the context of meteorological drought, necessitates precise modeling of these phenomena. This study focuses on assessing the accuracy of drought modeling using the well-established Standard Precipitation Index (SPI) in the Aegean region of Türkiye. The study utilizes monthly precipitation data from six stations in Cesme, Kusadasi, Manisa, Seferihisar, Selcuk and Izmir at Kucuk Menderes Basin covering the period from 1973 to 2020. The dataset is divided into three sets, training (60%), validation (20%), and testing (20%) sets. The study aims to determine the SPI-3, SPI-6 and SPI-12 using a multi-station prediction technique. Three boosting regression models (BRMs), namely Extreme Gradient Boosting (XgBoost), Adaptive Boosting (AdaBoost), and Gradient Boosting (GradBoost), were employed and optimized with the help of the Weighted Mean of Vectors (INFO) technique. Model performances were then evaluated with the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Coefficient of Determination (R2) and the Willmott Index (WI). Results demonstrated a distinct superiority of the XgBoost model over AdaBoost and GradBoost in terms of accuracy. During the test phase, the XgBoost model achieved RMSEs of 0.496, 0.429 and 0.389 for SPI-3, SPI-6 and SPI-12, respectively. The WIs were 0.899, 0.901 and 0.825 for SPI-3, SPI-6 and SPI-12, respectively. These are considerably lower than the corresponding values obtained by the other models. Yet, the comparative statistical analysis further underscores the effectiveness of XgBoost in modeling extended periods of drought in the Aegean region of Türkiye.
TransCotANet: A Lung Field Image Segmentation Network with Multidimensional Global Feature Dynamic Aggregation
Authors: Xu Xuebin , Wang Muyu , Liu Dehua , Lei Meng , Fu Jun , Jia Yang
Published: July 2023

Chest X-ray (CXR) images can be used to diagnose a variety of lung diseases, such as tuberculosis, pneumonia, and lung cancer. However, the variation in lung morphology due to differences in age, gender, and the severity of pathology makes high-precision lung segmentation a challenging task. Traditional segmentation networks, such as U-Net, have become the standard architecture and have achieved remarkable results in lung field image segmentation tasks. However, because traditional convolutional operations can only explicitly capture local semantic information, it is difficult to obtain global semantic information, resulting in difficult performance in terms of accuracy requirements in medical practical applications. In recent years, the introduction of Transformer technology to natural language processing has achieved great success in the field of computer vision. In this paper, a new network architecture called TransCotANet is proposed. The network architecture is based on the U-Net architecture with convolutional neural networks (CNNs) as the backbone and extracts global semantic information through symmetric cross-layer connections in the encoder structure, where the encoder stage includes an upsampling module to improve the resolution of the feature map, and uses the dynamic aggregation module CotA to dynamically aggregate multi-scale feature maps and finally obtain more accurate segmentation results. The experimental results show that the method outperformed other methods for lung field image segmentation datasets.
Trends in Illicit Cannabis Potency based on the Analysis of Law Enforcement Seizures in the Southern Area of Rome
Authors: Vernich Francesca , Stefani Lucrezia , Fiorelli Denise , Mineo Federico , Pallocci Margherita , Treglia Michele , Marsella Luigi Tonino , Tittarelli Roberta
Published: July 2023

Cannabis remains the most illicitly produced and consumed substance worldwide, and the average trans-Δ9-tetrahydrocannabinol (THC) content in cannabis products (marijuana, hashish) has increased over time. This paper presents data about THC concentration in cannabis resin samples seized by law enforcement from 2015 to 2022 in the southern area of Rome (Italy). From 2015 to 2022, more than 1000 hashish samples were analyzed; the average THC content was 18.0% and dramatically increased from 13.7% (2015) to 27.1% (2022). The potency of THC in some samples characterized by unusual shape and color was higher than 24% and, in a few cases, higher than 40%. The age group most involved in seizures of cannabis resin concerned males aged between 15 and 36 years old. The spread of this phenomenon increases the risk of adverse health outcomes. Many observational studies compare the increased cannabis potency with the onset of psychosis, depression, anxiety and cannabis use disorders (CUDs), mainly in young adults. THC-potency monitoring provides data that can be helpful to create a network of communication and interaction between universities, and legislative and public health institutions to support education, awareness and surveillance related to cannabis abuse.
Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems
Authors: Cao Yu , Wang Ruimin , Liu Yanyan , Li Yongjie , Jia Lifen , Yang Qingxiang , Zeng Xiangpeng , Li Xinlei , Wang Qiang , Wang Ruifei , Riaz Luqman
Published: July 2023

Several methods have been used to assess heavy metal contamination in sediments. However, an assessment that considers both composite heavy metal speciation and concentration is necessary to accurately study ecological risks. This study improved the potential ecological risk index method and calculated the toxicity coefficients of seven heavy metals: Arsenic (As), Cadmium (Cd), Chromium (Cr), Copper (Cu), Nickel (Ni), Lead (Pb), and Zinc (Zn). The newly calculated toxicity coefficients were validated by using previously published heavy metal distribution data of the Henan section of the Yellow River. The calculation procedure is based on the principle that the abundance of heavy metals in the environment and their bioavailable forms affect the toxicity of heavy metals. The toxicity coefficients for the seven heavy metals were calculated as follows: As = 10, Cd = 20, Cr = 5, Cu = 2, Ni = 5, Pb = 5, Zn = 1. Ecological risk assessment of the Henan section of the Yellow River using the improved toxicity coefficients revealed that the ecological risk of Cd and total heavy metals is higher than previous calculations, reaching the strength and moderate risk levels, respectively. The improved potential ecological risk index method is more sensitive to heavy metal pollution and thus provides a better indication of ecological risk. This is a necessary improvement to provide more accurate pollution assessments.
Ameliorative Effects of Luteolin and Activated Charcoal on Growth Performance, Immunity Function, and Antioxidant Capacity in Broiler Chickens Exposed to Deoxynivalenol
Authors: Hassan Mubashar , Wang Yanan , Rajput Shahid Ali , Shaukat Aftab , Yang Ping , Farooq Muhammad Zahid , Cheng Qianhui , Ali Mehboob , Mi Xiaomei , An Yu , Qi Desheng
Published: July 2023

Deoxynivalenol (DON, Vomitoxin) is a threatening mycotoxin that mainly produces oxidative stress and leads to hepatotoxicity in poultry. Antioxidant dietary supplements dramatically boost immunity, safeguarding animals from DON poisoning. Luteolin (LUT) is an active plant-derived compound that poses influential antioxidants. This study explored the effectiveness of LUT in combination with activated charcoal (AC) in detoxifying DON in broilers. The 180 one-day broiler chickens were allocated into five different groups having six replicates in each group, provided with ad libitum feed during the trial period (28 days) as follows: in the control group, basal diet (feed with no supplementation of LUT, AC or DON); in group 2, a basal diet added with 10 mg/kg DON from contaminated culture (DON); in group 3, a basal diet augmented by 350 mg/kg LUT and DON 10 mg/kg (DON + LUT); in group 4, a basal diet supplemented by DON 10 mg/kg + AC 200 mg/kg (DON + AC); and in group 5, a basal diet supplemented by 10 mg/kg DON + 350 mg/kg LUT + 200 mg/kg AC (DON + LUT + AC). Concerning the control group, the DON-treated broilers demonstrated a significant decrease in growth performance (p < 0.05) and serum immunoglobulin (p < 0.05) contents, negatively changing the serum biochemical contents and enzymatic activities and an increase in histopathological liver lesions. Furthermore, DON substantially increased (p < 0.05) malondialdehyde (MDA) concentration and decreased total superoxide dismutase (T-SOD), catalase (CAT), and glutathione peroxidase (GSH-Px) levels in the serum and liver. The intake of AC and LUT to the DON-contaminated diet decreased DON residue in the liver and potentially reduced the adverse effects of DON. Considering the results, supplementation of LUT with mycotoxin adsorbent has protective effects against mycotoxicosis caused by DON. It could be helpful for the development of novel treatments to combat liver diseases in poultry birds. Our findings may provide important information for applying LUT and AC in poultry production.
Quadruplex Real-Time TaqMan® RT-qPCR Assay for Differentiation of Equine Group A and B Rotaviruses and Identification of Group A G3 and G14 Genotypes
Authors: Carossino Mariano , Balasuriya Udeni B. R. , Thieulent Côme J. , Barrandeguy Maria E. , Vissani Maria Aldana , Parreño Viviana
Published: July 2023

Equine rotavirus A (ERVA) is the leading cause of diarrhea in foals, with G3P[12] and G14P[12] genotypes being the most prevalent. Recently, equine G3-like RVA was recognized as an emerging infection in children, and a group B equine rotavirus (ERVB) was identified as an emergent cause of foal diarrhea in the US. Thus, there is a need to adapt molecular diagnostic tools for improved detection and surveillance to identify emerging strains, understand their molecular epidemiology, and inform future vaccine development. We developed a quadruplex TaqMan® RT-qPCR assay for differentiation of ERVA and ERVB and simultaneous G-typing of ERVA strains, evaluated its analytical and clinical performance, and compared it to (1) a previously established ERVA triplex RT-qPCR assay and (2) standard RT-PCR assay and Sanger sequencing of PCR products. This quadruplex RT-qPCR assay demonstrated high sensitivity (>90%)/specificity (100%) for every target and high overall agreement (>96%). Comparison between the triplex and quadruplex assays revealed only a slightly higher sensitivity for the ERVA NSP3 target using the triplex format (p-value 0.008) while no significant differences were detected for other targets. This quadruplex RT-qPCR assay will significantly enhance rapid surveillance of both ERVA and ERVB circulating and emerging strains with potential for interspecies transmission.
SARS-CoV-2 m-RNA Vaccine Response in Immunocompromised Patients: A Monocentric Study Comparing Cancer, People Living with HIV, Hematopoietic Stem Cell Transplant Patients and Lung Transplant Recipients
Authors: Bordry Natacha , Mamez Anne-Claire , Fedeli Chiara , Cantero Chloé , Jaksic Cyril , Alonso Pilar Ustero , Rayroux Caroline , Berra Gregory , Portillo Vera , Puntel Maeva , Yerly Sabine , Bugeia Sébastien , Gutknecht Garance , Di Marco Mariagrazia , Mach Nicolas , Soccal Paola Marina , Chalandon Yves , Calmy Alexandra , Addeo Alfredo
Published: July 2023

Immunocompromised patients (ICPs) have a higher risk of developing severe forms of COVID-19 and experience a higher burden of complications and mortality than the general population. However, recent studies have suggested that the antibody response to SARS-CoV-2 mRNA vaccines could be highly variable among different ICPs. Using a collaborative, monocentric, prospective cohort study, we assessed anti-SARS-CoV-2 spike protein antibody titers following two and three doses of mRNA vaccines in four groups of ICPs (cancer [n = 232]: hematopoietic stem cell transplant [HSCT; n = 126] patients; people living with HIV [PLWH; n = 131]; and lung transplant [LT; n = 39] recipients) treated at Geneva University Hospitals; and healthy individuals (n = 49). After primo-vaccination, the highest anti-S antibody geometric mean titer (IU/mL) was observed in healthy individuals (2417 IU/mL [95% CI: 2327–2500]), the PLWH group (2024 IU/mL [95% CI:1854–2209]) and patients with cancer (840 IU/mL [95% CI: 625–1129]), whereas patients in the HSCT and LT groups had weaker antibody responses (198 IU/mL [95% CI: 108–361] and 7.3 IU/mL [95% CI: 2.5–22]). The booster dose conferred a high antibody response after 1 month in both PLWH (2500 IU/mL) and cancer patients (2386 IU/mL [95% CI: 2182–2500]), a moderate response in HSCT patients (521 IU/mL [95% CI: 306–885]) and a poor response in LT recipients (84 IU/mL [95% CI: 18–389]). Contemporary treatment with immunosuppressive drugs used in transplantation or chemotherapy was associated with a poor response to vaccination. Our findings confirmed the heterogeneity of the humoral response after mRNA vaccines among different ICPs and the need for personalized recommendations for each of these different groups.
World Experience in Immunization against Noncommunicable Diseases: Successes and Vectors for Further Development
Authors: Kashutina Maria , Fadeeva Inna , Zhernov Yury
Published: July 2023

According to the World Health Organization, noncommunicable diseases (NCDs), also known as chronic diseases that do not spread from person to person, are one of the major burdens on public health and cause approximately 28 premature deaths worldwide every minute and close to 74% of deaths globally each year [...]
Risk Assessment and Response Strategy for Pig Epidemics in China
Authors: Shi Zizhong , Li Junru , Hu Xiangdong
Published: July 2023

Strengthening the analysis and risk assessment of the pig epidemic will help to better prevent and mitigate epidemic risks and promote the high-quality development of the pig industry. Based on a systematic understanding of live pig epidemics, a risk assessment index system was constructed, and the spatial and temporal variation characteristics of pig epidemics in China were explored by the entropy method. In recent years, the overall trend in pig epidemics over time first increased and then decreased; in space, the acceleration of the spread of epidemics across the country weakened. China still faces challenges, including many types and a wide range of diseases, large total livestock breeding and weak epidemic prevention and control capacity, and a large risk of introduced foreign animal epidemics. The spatial and temporal variations in the pig epidemic risk were obvious; one high-risk area, two medium–high-risk areas and 10 medium-risk areas have been found in recent years, during which time, the epidemic risk was highest in Beijing, Hainan, Liaoning, Tibet and Zhejiang. However, there were significant differences in the regional distribution of the risk level of pig epidemics in different years. To further build a secure “defense system” for the high-quality development of the pig industry, it is recommended to improve the monitoring and early warning system of pig epidemic risk, perfect the pig epidemic prevention and control system, and strengthen the regional collaboration mechanism of epidemic prevention and control.
Enhancing Nursing Simulation Education: A Case for Extended Reality Innovation
Authors: Fealy Shanna , Irwin Pauletta , Tacgin Zeynep , See Zi Siang , Jones Donovan
Published: July 2023

This concept paper explores the use of extended reality (XR) technology in nursing education, with a focus on three case studies developed at one regional university in Australia. Tertiary education institutions that deliver nursing curricula are facing challenges around the provision of simulated learning experiences that prepare students for the demands of real-world professional practice. To overcome these barriers, XR technology, which includes augmented, mixed, and virtual reality (AR, MR, VR), offers a diverse media platform for the creation of immersive, hands-on learning experiences, situated within virtual environments that can reflect some of the dynamic aspects of real-world healthcare environments. This document analysis explores the use of XR technology in nursing education, through the narrative and discussion of three applied-use cases. The collaboration and co-design between nursing educators and XR technology experts allows for the creation of synchronous and asynchronous learning experiences beyond traditional nursing simulation media, better preparing students for the demands of real-world professional practice.
Effect of Climate Change and Human Activities on Surface and Ground Water Quality in Major Cities of Pakistan
Authors: Zeb Hira , Yaqub Asim , Ajab Huma , Zeb Iftikhar , Khan Imran
Published: July 2023

In this study, climate change and human impacts on water quality in five major urban areas of Pakistan, including Karachi, Lahore, Peshawar, Abbottabad, and Gilgit, were determined. Secondary data on various physical, chemical, and bacteriological water quality parameters were taken from published papers, reports, and theses. Surface and groundwater were the major sources of drinking water in these cities. The physicochemical parameters were total turbidity, pH, dissolved solids (TDS), sulphates, chlorides, calcium, sodium, HCO3, potassium, magnesium, nitrates, fluorides, arsenic, and hardness. The bacteriological parameters were total coliform, total faecal coliform, and total plate counts. The data revealed that pH, TDS, fluoride, chloride, HCO3, sodium, and hardness were above the limits in Karachi. MCB Market, Goth Ibrahim, and Malir Town were the main contaminated areas in Karachi. In Lahore, arsenic was found above the limits in all sampling locations. Turbidity, pH, HCO3, calcium, magnesium, and hardness were found above the limits in Peshawar. In Gilgit city, all physicochemical parameters were found within the limits except turbidity, which was 10 NTU in Nomal valley. Nitrates were higher in the water sources in Abbottabad. Bacterial contamination was found in the water of all five cities. Most of the studies revealed that this contamination could be human-induced. The improper disposal of solid waste, sewage, and animal waste and the excessive use of fertilisers deteriorate the quality of the water. Precipitation, a rise in temperature, and seasonal variation are climate variables that affect water quality and are responsible for major outbreaks of waterborne diseases. There is an urgent need for regular analysis, proper management, and proper treatment of drinking water before it is supplied to the local community in these cities.