bluuebunny/crossref_metadata_2025 huggingface dataset:
Generation of Polynomial Automorphisms Appropriate for the Generalization of Fuzzy Connectives
Authors: Makariadis Eleftherios , Makariadis Stefanos , Konguetsof Avrilia , Papadopoulos Basil
Published: October 2023

Fuzzy logic is becoming one of the most-influential fields of modern mathematics with applications that impact not only other sciences, but society in general. This newly found interest in fuzzy logic is in part due to the crucial role it plays in the development of artificial intelligence. As a result, new tools and practices for the development of the above-mentioned field are in high demand. This is one of the issues this paper was composed to address. To be more specific, a sizable part of fuzzy logic is the study of fuzzy connectives. However, the current method used to generalize them is restricted to the use of basic automorphisms, which hinders the creation of new fuzzy connectives. For this reason, in this paper, a new method of generalization is conceived of that aims to generalize the fuzzy connectives using polynomial automorphism functions instead. The creation of these automorphisms is achieved through numerical analysis, an endeavor that is supported with programming applications that, using mathematical modeling, validate and visualize the research. Furthermore, the automorphisms satisfy all the necessary criteria that have been established for use in the generalization process and, consequently, are used to successfully generalize fuzzy connectives. The result of the new generalization method is the creation of new usable and flexible fuzzy connectives, which is very promising for the future development of the field.
Mycotoxin Occurrence in Milk and Durum Wheat Samples from Tunisia Using Dispersive Liquid–Liquid Microextraction and Liquid Chromatography with Fluorescence Detection
Authors: Ben Hassouna Khouloud , Hamed Ahmed M. , Salah-Abbès Jalila Ben , Chaieb Kamel , Abbès Samir , García-Campaña Ana M. , Gámiz-Gracia Laura
Published: October 2023

Food and feed contamination with mycotoxins is a major public health concern. Humans and animals are exposed to these toxins by consuming contaminated products throughout their lives. In this study, a method based on dispersive liquid–liquid microextraction (DLLME), followed by liquid chromatography with fluorescence detection (LC-FLD), was validated for the determination of aflatoxins (AFs) M1, B1, B2, G1, G2, zearalenone (ZEN), and ochratoxin A (OTA). The method was applied to 150 raw cow milk samples and 90 market durum wheat samples from two Tunisian climatic regions: the littoral region (Mahdia) and the continental region (Béja). This work was carried out to obtain more surveillance data to support rapid initiatives to assure safe foods and protect consumer health and to estimate the daily exposure of the Tunisian population consuming those products. AFG2 and OTA were found in wheat with incidences of 54.4 and 11.1%, respectively. On the other side, milk samples were contaminated by AFG2, AFB1, and AFB2 with incidences of 8.7%, 2.0%, and 0.67%, respectively. Some of the samples showed OTA concentrations above the maximum limit allowed by the European Union, which represents a health risk for consumers in Tunisia, where no legislation exists about the maximum content of mycotoxins in food.
Computer-Aided Detection for Chest Radiography to Improve the Quality of Tuberculosis Diagnosis in Vietnam’s District Health Facilities: An Implementation Study
Authors: Innes Anh L. , Martinez Andres , Gao Xiaoming , Dinh Nhi , Hoang Gia Linh , Nguyen Thi Bich Phuong , Vu Viet Hien , Luu Tuan Ho Thanh , Le Thi Thu Trang , Lebrun Victoria , Trieu Van Chinh , Tran Nghi Do Bao , Qin Zhi Zhen , Pham Huy Minh , Dinh Van Luong , Nguyen Binh Hoa , Truong Thi Thanh Huyen , Nguyen Van Cu , Nguyen Viet Nhung , Mai Thu Hien
Published: October 2023

In Vietnam, chest radiography (CXR) is used to refer people for GeneXpert (Xpert) testing to diagnose tuberculosis (TB), demonstrating high yield for TB but a wide range of CXR abnormality rates. In a multi-center implementation study, computer-aided detection (CAD) was integrated into facility-based TB case finding to standardize CXR interpretation. CAD integration was guided by a programmatic framework developed for routine implementation. From April through December 2022, 24,945 CXRs from TB-vulnerable populations presenting to district health facilities were evaluated. Physicians interpreted all CXRs in parallel with CAD (qXR 3.0) software, for which the selected TB threshold score was ≥0.60. At three months, there was 47.3% concordance between physician and CAD TB-presumptive CXR results, 7.8% of individuals who received CXRs were referred for Xpert testing, and 858 people diagnosed with Xpert-confirmed TB per 100,000 CXRs. This increased at nine months to 76.1% concordant physician and CAD TB-presumptive CXRs, 9.6% referred for Xpert testing, and 2112 people with Xpert-confirmed TB per 100,000 CXRs. Our programmatic CAD-CXR framework effectively supported physicians in district facilities to improve the quality of referral for diagnostic testing and increase TB detection yield. Concordance between physician and CAD CXR results improved with training and was important to optimize Xpert testing.
Advanced Strategies for Developing Vaccines and Diagnostic Tools for African Swine Fever
Authors: Lim Jong-Woo , Vu Thi Thu Hang , Le Van Phan , Yeom Minjoo , Song Daesub , Jeong Dae Gwin , Park Song-Kyu
Published: October 2023

African swine fever (ASF) is one of the most lethal infectious diseases affecting domestic pigs and wild boars of all ages. Over a span of 100 years, ASF has continued to spread over continents and adversely affects the global pig industry. To date, no vaccine or treatment has been approved. The complex genome structure and diverse variants facilitate the immune evasion of the ASF virus (ASFV). Recently, advanced technologies have been used to design various potential vaccine candidates and effective diagnostic tools. This review updates vaccine platforms that are currently being used worldwide, with a focus on genetically modified live attenuated vaccines, including an understanding of their potential efficacy and limitations of safety and stability. Furthermore, advanced ASFV detection technologies are presented that discuss and incorporate the challenges that remain to be addressed for conventional detection methods. We also highlight a nano-bio-based system that enhances sensitivity and specificity. A combination of prophylactic vaccines and point-of-care diagnostics can help effectively control the spread of ASFV.
Naringenin Improves Innate Immune Suppression after PRRSV Infection by Reactivating the RIG-I-MAVS Signaling Pathway, Promoting the Production of IFN-I
Authors: Yu Jiaying , Shi Haitao , Song Ke , Yang Yuxin , Li Xinmiao , Peng Luyuan , Fu Bendong , Yi Pengfei
Published: October 2023

Porcine reproductive and respiratory syndrome (PRRS) has been prevalent for nearly forty years since it was first reported. It has been one of the major diseases jeopardizing the healthy development of the world swine industry, as well as causing great economic losses to the industry’s economic development. Furthermore, no way has been found to combat the disease due to the immunosuppressive properties of its pathogen porcine reproductive and respiratory syndrome virus (PRRSV) infection. We previously examined the mRNA expression of IFN-I in PRRSV-infected Marc-145 cells at different time periods using qRT-PCR, and found that the mRNA expression of IFN-I in the late stage of PRRSV infection showed suppression. Naringenin is a flavonoid found in citrus fruits and has a very wide range of pharmacological activities. Therefore, the aim of the present study was to investigate the modulatory effect of naringenin on the suppressed innate immune response after PRRSV infection. The expression of IFN-I, IL-10, and ISGs in the late stage of PRRSV infection was examined using qRT-PCR, and the results showed that naringenin improved the expression of antiviral cytokines suppressed by PRRSV infection. Further results showed that naringenin treatment significantly up-regulated the expression of proteins related to the RIG-I-MAV immune signaling pathway, and that naringenin could not significantly activate the RIG-I-MAVS signaling pathway after the addition of the RIG-I inhibitor Cyclo. Overall, these data demonstrated that naringenin could improve the innate immune response suppressed by PRRSV infection by modulating the RIG-I-MAVS signaling pathway. Therefore, our study will provide a theoretical basis for the development of naringenin as a drug against immunosuppressive viral infectious disease infections.
Special Issue “Hepatitis B Virus: New Breakthroughs to Conquer an Ancient Disease”
Authors: Tu Thomas , Douglas Mark W.
Published: October 2023

Chronic hepatitis B affects >300 million people worldwide and is a major cause of liver disease, causing ~800,000 deaths each year [...]
Predictive Model for Mortality in Severe COVID-19 Patients across the Six Pandemic Waves
Authors: Casillas Nazaret , Ramón Antonio , Torres Ana María , Blasco Pilar , Mateo Jorge
Published: October 2023

The impact of SARS-CoV-2 infection remains substantial on a global scale, despite widespread vaccination efforts, early therapeutic interventions, and an enhanced understanding of the disease’s underlying mechanisms. At the same time, a significant number of patients continue to develop severe COVID-19, necessitating admission to intensive care units (ICUs). This study aimed to provide evidence concerning the most influential predictors of mortality among critically ill patients with severe COVID-19, employing machine learning (ML) techniques. To accomplish this, we conducted a retrospective multicenter investigation involving 684 patients with severe COVID-19, spanning from 1 June 2020 to 31 March 2023, wherein we scrutinized sociodemographic, clinical, and analytical data. These data were extracted from electronic health records. Out of the six supervised ML methods scrutinized, the extreme gradient boosting (XGB) method exhibited the highest balanced accuracy at 96.61%. The variables that exerted the greatest influence on mortality prediction encompassed ferritin, fibrinogen, D-dimer, platelet count, C-reactive protein (CRP), prothrombin time (PT), invasive mechanical ventilation (IMV), PaFi (PaO2/FiO2), lactate dehydrogenase (LDH), lymphocyte levels, activated partial thromboplastin time (aPTT), body mass index (BMI), creatinine, and age. These findings underscore XGB as a robust candidate for accurately classifying patients with COVID-19.
Norovirus-Associated Gastroenteritis Vesikari Score and Pre-Existing Salivary IgA in Young Children from Rural South Africa
Authors: Kabue Jean-Pierre , Khumela Ronewa , Meader Emma , Baroni de Moraes Marcia Terezinha , Traore Afsatou Ndama , Potgieter Natasha
Published: October 2023

Norovirus (NoV) is the leading cause of viral gastroenteritis, mostly affecting young children worldwide. However, limited data are available to determine the severity of norovirus-associated AGE (acute gastroenteritis) and to correlate it with the NoV-specific IgA antibodies’ level. Between October 2019 and September 2021, two hundred stool samples were randomly collected from symptomatic cases for the vesikari score and NoV-specific IgA assessment in young children from rural South Africa. Additionally, one hundred saliva specimens were concomitantly sampled within the same cohort to evaluate the NoV-specific salivary IgA levels. In addition, 50 paired saliva and stool samples were simultaneously collected from asymptomatic children to serve as controls. NoV strains in stool samples were detected using real-time RT-PCR, amplified, and genotyped with RT-PCR and Sanger sequencing. ELISA using NoV VLP (virus-like particles) GII.4 as antigens was performed on the saliva specimens. Dehydrated children were predominantly those with NoV infections (65/74, 88%; p < 0.0001). NoV-positive infections were significantly associated with the severe diarrhea cases having a high vesikari score (55%, 33/60) when compared to the non-severe diarrheal score (29.3%, 41/140; p < 0.0308). NoV of the GII genogroup was mainly detected in severe diarrhea cases (50.9%, 30/59; p = 0.0036). The geometric means of the NoV-specific IgA level were higher in the asymptomatic NoV-infected group (0.286) as compared to the symptomatic group (0.174). This finding suggests that mucosal immunity may not protect the children from the NoV infection. However, the findings indicated the contribution of the pre-existing NoV-specific IgA immune response in reducing the severity of diarrheal disease. A high vesikari score of AGE associated with the NoV GII genogroup circulating in the study area underscores the need for an appropriate treatment of AGE based on the severity level of NoV-associated clinical symptoms in young children.
Long Non-Coding RNA as a Potential Biomarker for Canine Tumors
Authors: Zhang Yan , Wu Meijin , Zhou Jiahao , Diao Hongxiu
Published: October 2023

Cancer is the leading cause of death in both humans and companion animals. Long non-coding RNA (lncRNA) plays a crucial role in the progression of various types of cancers in humans, involving tumor proliferation, metastasis, angiogenesis, and signaling pathways, and acts as a potential biomarker for diagnosis and targeted treatment. However, research on lncRNAs related to canine tumors is in an early stage. Dogs have long been considered a promising natural model for human disease. This article summarizes the molecular function of lncRNAs as novel biomarkers in various types of canine tumors, providing new insights into canine tumor diagnosis and treatment. Further research on the function and mechanism of lncRNAs is needed, which will benefit both human and veterinary medicine.
Landslide Prediction in Mountainous Terrain Using Remote Sensing and GIS: A Case Study of Al-Hada Road, Makkah Province, Saudi Arabia
Authors: Alharbi Talal , El-Sorogy Abdelbaset S.
Published: October 2023

In Saudi Arabia’s mountainous regions, debris flow is a natural hazard that poses a threat to infrastructure and human lives. To assess the potential zones of landslide in the Al-Hada Road area, a study was conducted using Geographic Information System (GIS) analysis and remote sensing (RS) data. The study took into account various factors that could affect landslides, such as drainage density, elevation, slope, precipitation, land use, geology, soil, and aspect. The study also included a field trip to identify 11 previous landslide events that were influenced by high-density drainage and slope. The study utilized weighted overlay analysis in a GIS environment to create a map indicating the potential landslide zones in the area. According to the analysis, low-risk areas cover 35,354,062.5 square meters, medium-risk areas cover 60,646,250 square meters, and high-risk zones cover an area of 8,633,281 square meters. This result was verified using the locations of previous landslide events. The study’s findings can help planners and decision-makers identify and prioritize areas for mitigation and prevention measures. Additionally, the study contributes to understanding landslide hazards in arid and semi-arid regions.
Possible Pollution of Surface Water Bodies with Tequila Vinasses
Authors: Tejeda Allan , Montoya Arturo , Sulbarán-Rangel Belkis , Zurita Florentina
Published: October 2023

The aim of this study was to evaluate the water quality in two streams of the Valles region of Jalisco, Mexico and fully determine if they are being used as tequila vinasse disposal sites. Three sampling campaigns were carried out at eight different points of the two streams that run near tequila factories (TFs). Different physicochemical parameters of water quality were measured: chemical oxygen demand (COD); biochemical oxygen demand (BOD5); total suspended solids (TSSs); total phosphates; fats, oils, and grease (FOG); Kjeldal nitrogen; nitrite; nitrate; pH; conductivity; temperature; dissolved oxygen (DO); and turbidity. Also, the analysis of samples of tequila vinasses (TVs) diluted with tap water were carried out to have a reference for the level of pollution in the streams. Furthermore, due to the fact that COD could be considered the main indicator of pollution with TVs, a linear regression was performed between COD concentrations and the percentage of dilution of TVs (with tap water). A positive correlation was found between these two variables, and based on this analysis, the vinasse content was estimated at each sampling point of the streams. It was found that on average, a volume of 8.5 ± 6.3% and 11.5 ± 4.9% of TVs were present in each sampling point of the Atizcoa and Jarritos Streams, respectively. Additionally, it was found that, in general, the concentration of pollutants increased as the streams passed through the TFs, particularly the Atizcoa Stream. According to the Water National Commission criteria, most of the points would be classified as highly polluted, since they reach concentrations of COD and BOD5 up to 6590 mg/L and 3775 mg/L, respectively, temperature values up to 37 °C, and DO values of 0.5 mg/L. Therefore, it was confirmed that the streams are being used as tequila vinasse disposal sites. Due to the above, there is an urgent need for tequila companies to implement treatment systems for the vinasse generated, since under current conditions, the monitored streams are practically devoid of aquatic life.
Destabilization Mechanism of Rainfall-Induced Loess Landslides in the Kara Haisu Gully, Xinyuan County, Ili River Valley, China: Physical Simulation
Authors: Zhang Tiandong , Zhang Zizhao , Xu Cheng , Hao Ruihua , Lv Qianli , Jia Junyu , Liang Shichuan , Zhu Haiyu
Published: October 2023

The destabilization mechanism of rainfall-induced loess landslides generally occurring in the Ili River Valley of China remains inadequately understood. This research investigates the variations accounting for the pore water pressure and vertical stresses in the landslide body during rainfall infiltration in Karahaisu landslide, Xinyuan County, Ili River Valley, China, through physical modeling tests together with the scanning electron microscope tests. The findings indicate that rainfall significantly increases the degree of water saturation within the slope, pore water pressure and vertical stresses. This increase is more pronounced in the later stages of rainfall, followed by a sharp decrease in both pore water pressure and vertical stresses post-landslide occurrence. The results also show the dynamic fluctuations in the size and structural complexity of soil particles and pores during the rainfall infiltration. Furthermore, the soil particles undergo fragmentation as a consequence of water infiltration, leading to soil body subsidence. This tensile fracturing, attributed to differential subsidence of the slope body, constitutes the fundamental cause of accelerated deformation and damage to the slopes. The evolution of continuous rainfall-induced landslides can be categorized into three stages: crack formation caused by compression and subsidence, uniform deformation by localized slip, and eventual damage by accelerated deformation.
Cloud-Based Machine Learning for Flood Policy Recommendations in Makassar City, Indonesia
Authors: Rimba Andi Besse , Arumansawang Andi , Utama I Putu Wira , Chapagain Saroj Kumar , Bunga Made Nia , Mohan Geetha , Setiawan Kuncoro Teguh , Osawa Takahiro
Published: October 2023

Makassar City frequently experiences monsoonal floods, typical of a tropical city in Indonesia. However, there is no high-accuracy flood map for flood inundation. Examining the flood inundation area would help to provide a suitable flood policy. Hence, the study utilizes multiple satellite data sources on a cloud-based platform, integrating the physical factors of a flood (i.e., land use data and digital elevation model—DEM—data) with the local government’s urban land use plan and existing drainage networks. The research aims to map the inundation area, identify the most vulnerable land cover, slope, and elevation, and assess the efficiency of Makassar’s drainage system and urban land use plan. The study reveals that an uncoordinated drainage system in the Tamalanrea, Biringkanaya, and Manggala sub-districts results in severe flooding, encompassing a total area of 35.28 km2. The most affected land use type is cultivation land, constituting approximately 43.5% of the flooded area. Furthermore, 82.26% of the urban land use plan, covering 29.02 km2, is submerged. It is imperative for the local government and stakeholders to prioritize the enhancement of drainage systems and urban land use plans, particularly in low-lying and densely populated regions.
Three New Nitzschia (Bacillariophyceae) Species from Highly Acidic Artificial Lakes in Çanakkale, Türkiye
Authors: Sevindik Tuğba Ongun , Hamilton Paul Brian , Solak Cüneyt Nadir , Yilmaz Elif , Güzel Uğur
Published: October 2023

Çanakkale is located in Western Anatolia, a region known for extensive mining in the country. In this study, three new species: Nitzschia arslaniana sp. nov., Nitzschia efeiana sp. nov., and Nitzschia szaboiana sp. nov. are described from highly acidic environments in Çanakkale. In morphology, Nitzschia arslaniana is similar to Nitzschia inconspicua but Nitzschia inconspicua is broader, with a lower fibulae density. Nitzschia efeiana is similar to Nitzschia. bremensis, Nitzschia capitellata, Nitzschia homburgiensis, Nitzschia hybrida, Nitzschia palustris, and Nitzschia pellucida. However, Nitzschia efeiana has variable fibulae widths, thickened virgae on its external valve face, and an elevated ridge on the valve margin opposite the keel. Nitzschia szaboiana is similar to Nitzschia pusilla, but the later taxon has a higher striae density. This study highlights the unique species diversity of extreme environments, including anthropogenic extreme environments, by describing three new taxa in the same genus.
Research on the Prediction Model of Loess Collapsibility in Xinyuan County, Ili River Valley Area
Authors: Chen Lifeng , Chen Kai , He Genyi , Liu Zhiqi
Published: October 2023

Collapsibility is a unique engineering geological property of loess. Choosing appropriate parameters to build the prediction model of loess collapsibility is an essential step toward solving the loess collapsibility problem. A case study was performed for the loess in Xinyuan County of the Yili River Basin, China. A large amount of data was collected from preliminary geotechnical tests in this region. Mathematical statistics were applied to analyse the correlations between the loess collapsibility and soil parameters. Multiple linear regression and neural network theories were adopted to build this region’s prediction model of loess collapsibility. The results showed that microscopically, the soils in this region were predominantly flocculated structures. The soil particles were flaky and in bracket contact, and the pores were round or irregularly shaped. Regarding the material composition, the soils were primarily composed of quartz and albite, with a low hematite content. In the study area, the correlation coefficients between the collapsibility coefficient of the loess vs. the density, dry density, saturation, porosity ratio, and porosity varied between 0.628 and 0.857, indicating a strong or very strong correlation. In terms of predicting loess collapsibility, the effectiveness of neural networks based on RBF (radial basis function) and multiple linear regression models was contrasted. The latter was discovered to be more appropriate, dependable, and accurate, with an accuracy percentage of 94.42%. Simultaneously, the model’s assessment index is 0.014 for the root mean squared error (RMSE), 0.962 for the correlation coefficient (CC), 0.919 for the Nash–Sutcliffe efficiency coefficient (NSE), and −1.494 percent for the percent bias (PBIAS). It works well for estimating whether local loess may collapse. Therefore, the RBF neural network model built in the present study has adequate precision and meets the engineering requirements. Our research sheds new light on loess collapsibility assessment in this region.
Phytonanofabrication of Copper Oxide from Albizia saman and Its Potential as an Antimicrobial Agent and Remediation of Congo Red Dye from Wastewater
Authors: Choudhary Nisha , Chaudhari Jaimina , Mochi Vidhi , Patel Pritee , Ali Daoud , Alarifi Saud , Sahoo Dipak Kumar , Patel Ashish , Yadav Virendra Kumar
Published: October 2023

Metal nanoparticle fabrication through plant-based green methods is considered the gold standard among the various synthesis techniques owing to its simplicity, eco-friendliness, ease of use, and the huge diversity of plant species. Copper nanoparticles (CuONPs) have proven their potential in the fields of medicine, agriculture, pharmaceutics, and catalysis, and are being synthesized using various physicochemical and biological methods. Here, the authors have reported on the first-ever use of Albizia saman leaf extract for the development of CuONPs. Phytochemical analysis of the methanolic extracts of the plant exhibited the presence of phenols (32.31%), tannins (12.27%), and flavonoids (16.72%). The phytonutrients existing in leaf extract successfully reduced the copper salt in the CuONPs. A detailed investigation of the synthesized CuONPs was performed using advanced instruments. The UV-Vis spectra exhibited an absorbance peak at 290 nm, while the X-ray diffraction pattern (XRD) revealed that the average crystallite size was about 29.86 nm. Dynamic light scattering (DLS) revealed that the average hydrodynamic size of the CuONPs was 72.3 nm in diameter, while its zeta potential was −0.49, with a negative polarity. Fourier transform infrared spectroscopy showed the major bands in the region of 400 to 1000 cm−1, suggesting the formation of CuONPs, while the band in the region of 1100 to 2600 cm−1 shows the association of plant molecules with the phytonanofabricated CuO particles. Transmission and scanning electron microscopy showed the spherical shape of the CuONPs, whose size was about 20–50 nm. The phytonanofabricated CuO exhibited antibacterial activity by forming a zone of inhibition (ZOI) against Escherichia coli, Staphylococcus aureus, and Candida albicans. The removal efficiency of the CuONPs was 33.33% for Congo Red dye. The removal efficiency of the phytonanofabricated CuO for CR dye was reduced to 16% after the 4th cycle.
The Study on the Genesis of Underground Brine in Laizhou Bay Based on Hydrochemical Data
Authors: Chen Bo , Yu Ying , Su Qiao , Yang Lin , Fu Tengfei , Liu Wenquan , Chen Guangquan , Lyu Wenzhe
Published: October 2023

The Laizhou Bay area contains a large amount of Quaternary brine resources, which have been gradually depleted by long-term high-intensity mining. The local brine genesis is still controversial, and the dominant theory of the evaporation of brine formation limits the exploration of brine resources to the land area, while the confirmation of freezing brine formation would greatly expand the brine storage range. In this research paper, the genesis of underground brines was analyzed based on the major ion concentrations of 62 samples of underground brines at different depths at 24 stations along the south coast of Laizhou Bay. The results show that the underground brines originated from seawater; however, their chemical components were changed during the evolution process after formation. The hydrogeochemical modeling results show that the mixing of seawater and fresh groundwater also affects the chemical composition of brines. The large-scale exploitation of brine resources in recent decades has also led to significant changes in the chemical composition of the underground brine in Laizhou Bay compared with the earlier period. The special geographic environment and the development of the brine chemical industry have led to the evolution of underground brines in Laizhou Bay being affected by a variety of factors, which makes the traditional analysis of brine genesis in this region not applicable. Furthermore, although evaporation and concentration are the dominant factors in the formation of brine, there is still a lack of evidence to rule out the existence of the freezing pathway.
Comparison of Four Sewer Condition Assessment Protocols Based on Field Data
Authors: Cao Guangxue , Guo Shuai , Wei Jun , Huang Rongmin , Li Mei
Published: October 2023

In order to better plan new or update sewer pipe condition assessment protocols, this paper presents systematic comparisons of four of the most widely used sewer condition assessment protocols, including the fourth edition of the Sewer Rehabilitation Manual (SRM-4) in the UK, the Pipeline Assessment and Certification Program (PACP) in America, the Sewer Physical Condition Grading Protocols (SPCCM) in Canada, and the Technical Specification for Inspection and Evaluation of Urban Sewer (TSIEUR) in China. In the qualitative comparison, the defects categories, deduct values, and assessment methods of the four protocols are analyzed. A new concept of defect weight is firstly introduced to make comparisons between protocols applicable and easy; in the quantitative comparison, the protocols are used to evaluate the same 182 sewer pipe segments based on field data and the assessment results are compared. It is found that the main reasons for the different evaluation results are due to the different defect weights and evaluation methods used. Finally, PACP shows obvious advantages and is recommended for asset managers when making new or updating protocols in the future.
Biological Invasions in Fresh Waters: Micropterus salmoides, an American Fish Conquering the World
Authors: Costantini Maria Letizia , Kabala Jerzy Piotr , Sporta Caputi Simona , Ventura Matteo , Calizza Edoardo , Careddu Giulio , Rossi Loreto
Published: October 2023

Biological invasions in fresh waters cause biodiversity loss and impairment of ecosystem functioning. Many freshwater invasive species are fish, including the largemouth bass Micropterus salmoides, which is considered one of the 100 worst invasive species in the world. Fast individual growth rates, high dispersal ability, ecological tolerance, and trophic plasticity are among the characteristics contributing to its success. The negative impact of M. salmoides on littoral fish communities is believed to be mitigated by habitat structural complexity resulting from aquatic vegetation and coarse woody debris, while the main limits on its spread seem to be strong water flows and high turbidity, which impairs visual predation. Together with the human overexploitation of its potential fish antagonists, habitat alteration could result in M. salmoides having seriously detrimental effects on native biodiversity. The purpose of this study is to critically review the life history and ecology of M. salmoides, its impact on ecosystems outside North America, and the effects of anthropogenic activities on its spread. This will highlight environmental factors that favor or limit its invasive success, helping to identify management measures that might mitigate its negative effects on freshwater biodiversity.
The Dynamics of Floating Macroalgae in the East China Sea and Its Vicinity Waters: A Comparison between 2017 and 2023
Authors: Yu Dingfeng , Li Jinming , Xing Qianguo , An Deyu , Li Jinghu
Published: October 2023

Ulva prolifera and Sargassum are two common floating macroalgae in China’s coastal algal bloom events. Ulva prolifera frequently emerges concomitantly with Sargassum outbreaks, thereby presenting challenges to the monitoring of algal blooms, thereby presenting challenges to the monitoring of algae. To tackle the challenge of differentiating between Ulva prolifera and Sargassum, this study employs Sentinel-2 MSI data for spectral analysis. Notably, significant disparities in the Remote Top of Atmosphere Reflectance (Rtoa) between Ulva prolifera and Sargassum are observed. This study proposes a random forest-based algorithm for discriminating between Ulva prolifera and Sargassum in the regions of the Yellow Sea and East China Sea. The algorithm introduced in this study attains remarkable accuracy in distinguishing Ulva prolifera and Sargassum within Sentinel-2 MSI data, achieving identical F1 scores of 99.1% for both. Moreover, when tested with GF-1 WFV data, the algorithm showcases outstanding performance; this demonstrates the algorithm’s robustness and its ability to mitigate the uncertainty linked to threshold selection. Simultaneously, a comparative analysis of algae distribution was conducted for both 2017 and the period from January to May 2023. Experimental results indicate that the algorithm exhibits high accuracy in distinguishing between Ulva prolifera and Sargassum. This capability will significantly enhance the monitoring of large algae in maritime regions; this holds crucial theoretical significance and offers substantial practical value in the realm of marine ecological conservation.
A Beach Profile Evolution Model Driven by the Hybrid Shock-Capturing Boussinesq Wave Solver
Authors: Wang Ping , Fang Kezhao , Liu Zhongbo , Sun Jiawen , Zhou Long
Published: October 2023

An existing Boussinesq wave model, solved in a hybrid format of the finite-difference method (FDM) and finite-volume method (FVM), with good merits of stability and shock-capturing, was used as the wave driver to simulate the beach evolution under nearshore wave action. By coupling the boundary layer model, the sand transport model, and the terrain updating model, the beach evolution model is established. Based on the coupled model, the interaction process between sandbars and waves was simulated, reproducing the process of the original sand bars diminishing, new sandbars creating, and finally disappearing. At the same time, the formation and movement process of sand bars under solitary and regular waves are numerically simulated, in the breaking zone, the water bottom has a larger shear stress, which promotes the sediment activation, transport and erosion formation, and near the breaking point, the decrease of sand-carrying capacity is the main reason for the formation of sandbars, the numerical model can accurately describe the changes in the shoreline profile under wave action.
Issues of intensification of aquaculture production and new approaches to the development of the salmon industry
Authors:   Russian Federal Research Institute of Fisheries and Oceanography (VNIRO), Russia, Moscow, Mihajlov A.V. , Shulgina E.V. ,   Russian Federal Research Institute of Fisheries and Oceanography (VNIRO), Russia, Moscow
Published: October 2023

The article deals with the issue of providing the world population with food. Data on the consumption and impact of food products from aquatic biological resources on food security in general and on the level of consumption of animal protein are presented. It is shown that in order to achieve sustainable development of the fish processing industry, it is necessary to constantly increase production volumes and expand the raw material base. The possibilities of increasing the volume of aquaculture production in various regions of the world and the problems associated with this are considered. It is indicated that a further increase in aquaculture production is possible due to pasture aquaculture and intensification of production due to feeding. For the successful implementation of the first option, it is necessary to involve new water areas and optimize the species composition, and for the second it is important to ensure an acceptable environmental load and the fullest possible use of feed. The method of intensification due to feeding is more in demand, however, the production and use of feed with a high protein content have a significant impact on the environment. It is noted that the largest amount of such feed is used in the production of salmon species. As a measure to smooth out the negative effects of salmon production, modern approaches to increasing the productivity of marine aquaculture are considered. One of the measures indicated is the possibility of growing coho (Oncorhynchus kisutch Walbaum) as part of the implementation of the concept of integrated multi-trophic aquaculture, where the natural food chain is simulated. The target species in the process of vital activity creates conditions for the production of food of another species, with this approach, the energy introduced into the artificial system is most fully used, and the principle of sustainable biomass production is implemented.
Catch dynamics of freshwater bram Abramis brama in the Ob river basin as a reflection of the success of its acclimatization
Authors:   Novosibirsk Branch of Russian Federal Research Institute of Fisheries and Oceanography (ZapSibNIRO), Russia, Novosibirsk, Interesova E.A. ,   n Institute of Systematics and Ecology of Animals SB RAS, Russia, Novosibirsk, Zaitsev V.F. ,   Novosibirsk Branch of Russian Federal Research Institute of Fisheries and Oceanography (ZapSibNIRO), Russia, Novosibirsk, Shatalin V.A. ,   Novosibirsk Branch of Russian Federal Research Institute of Fisheries and Oceanography (ZapSibNIRO), Russia, Novosibirsk, Tsapenkov A.V. ,   Novosibirsk Branch of Russian Federal Research Institute of Fisheries and Oceanography (ZapSibNIRO), Russia, Novosibirsk, Serbina E.A. ,   Institute of Systematics and Ecology of Animals SB RAS, Russia, Novosibirsk
Published: October 2023

The native range of the freshwater bream Abramis brama includes the basins of the North, Baltic, White, Azov, Black, Caspian and Aral seas. This species is not a popular object of aquaculture, but it is cultivated in some countries of Eastern Europe and Central Asia. In the water bodies of Italy, Spain, Portugal, England and China, it is a naturalized alien species that does not have a large number. At first freshwater bream was introduced into the Ob basin in 1862, in the reservoirs of the eastern slope Urals. By the end of the 19th century, bream became common in this region, but spread slowly downstream: in the Lower Irtysh it was noted only in the mid-1920s, and entered the commercial statistics in 1936. It became known in the Middle Irtysh in the 1930s, but it became an object of fishing only in 1963. In the lakes of the Ob-Irtysh interfluve, at first bream was introduced in 1928. In the largest of them, it became naturalized. In the Ubinskoye lake the bream formed a stable self-reproducing population, which served as a source of juvenile bream for resettlement in water bodies of Siberia and Kazakhstan in the middle of the twentieth century. Currently, the bream in the Ubinskoye lake does not inhabit due to the shall owing of the lake. Bream was introduced into the Novosibirsk reservoir in 1957–1960. It quickly became numerous and began to spread up and down the river Ob. It has been known in the Upper Ob in the Altai Region since the early 1960s, and in the Middle Ob in the Tomsk Region since the end of the same decade. Currently, the catch of bream in the Ob basin are maximum in the Bukhtarma reservoir, relatively large in the Novosibirsk reservoir and in the water bodies of the Khanty- Mansiysk Autonomous Region. At the same time, the share of this species in the total volume of fish catch in large reservoirs of the Ob basin is about 80% of the fishing, in the Middle Ob and Middle Irtysh — about 20%, and in the north of Western Siberia — less than 0.5%. The decrease in the share of bream in the fishery from south to north reflects not only a decrease in the abundance of this species in the latitudinal direction, but also an increase in the stocks of native fish species.
Comparative analysis of the results of backcrossing during selection of carp
Authors:   Saratov branch of the VNIRO (“SaratovNIRO”), Russia, Saratov, Maslikov V.P. , Kiyashko V.V. ,   Saratov branch of the VNIRO (“SaratovNIRO”), Russia, Saratov, Domnitsky I.Yu. ,   Saratov branch of the VNIRO (“SaratovNIRO”), Russia, Saratov, Alexandrov Ya.V. ,   Saratov branch of the VNIRO (“SaratovNIRO”), Russia, Saratov
Published: October 2023

A study of the fish-breeding and biological characteristics of two- and three-year-old hybrids of third-generation carp and reverse-crossing carp was carried out. As a result, a higher Fulton fatness coefficient was revealed in returncrossing carp, as well as their more effective plastic exchange, characterized by feed payment. The exterior indicators for the progonicity index of both two-yearolds and three-year-olds in return-crossing carp had lower values than in hybrids. Consequently, in this group of fish, as a result of the return crossing of carp hybrids with an improver breed (Moscow scaly), a more pronounced high-spin was observed. The additional calculation carried out for the variation of the studied index revealed slightly lower coefficient of variation in two- and three-year-old carp hybrids than in return-crossing carp, which can be explained by the effect of stabilizing selection during three generations of breeding. The use of such an important indicator as the mass accumulation coefficient made it possible to establish its higher values in two-year-old carp of return crossing. The consequence of such a high weight gain in this repair group of carp may be a significantly lower average weight in yearlings of return crossing when stocking outgrowth ponds (15.8 g versus 88.3 g in third-generation carp hybrids). The highest indicators for the accumulation mass coefficient were noted for both two-year-olds and three-year-olds of two groups of carp in the period from May to June, which corresponded to a more intensive development of the natural forage base in the growing ponds during this period of time.
General practice-related MeSH terms in main journals: a bibliometric analysis from 2011 to 2021
Authors: Duguet Théo , Ibanez Gladys , Schuers Matthieu , Lebeau Jean-Pierre , Roser Kristell , Gomes Cécilia Saldanha , Cadwallader Jean-Sébastien
Published: October 2023

Background

There are various Medical Subject Headings (MeSH) terms used to index general practice research, without consistency.

Aim

To understand how general practice-related research is indexed in the main general practice journals between 2011 and 2021, and to analyse the factors that influenced the choice of the general practice-related MeSH.

Design and setting

This was a quantitative bibliometric study conducted on MEDLINE.

Method

MeSH were selected according to the international definition of General Practice/Family Medicine: ‘General Practice’, ‘Primary Health Care’, ‘Family Practice’, ‘General Practitioners’, ‘Physicians, Primary Care’, and ‘Physicians, Family’. Their use was studied from 2011 to 2021 on MEDLINE, reviewing the 20 general practice journals with the highest impact factors. A descriptive and analytical approach was used; the association of the country, journal, and year with the choice of general practice-related MeSH terms was analysed.

Results

A total of 8514 of 150 286 articles (5.7%) were using one of the general practice-related MeSH terms. The most used were ‘Primary Health Care’ (4648/9984, 46.6%) and ‘General Practice’ (2841/9984, 28.5%). A total of 80.0% (6172/7723) of the articles were related to the UK or US and 71.0% (6055/8514) of the articles came from four journals (BJGP,BMJ,Journal of General Internal Medicine, andAnnals of Family Medicine). Two main country clusters emerged from the use of general practice-related MeSH: a British cluster mainly using ‘General Practice’ and an American cluster using ‘Primary Health Care’. The journals also mainly differed in their used of these two MeSH terms.

Conclusion

Important variations in the indexation of general practice research were found. Researchers should consider combining ‘Primary Health Care’ and ‘General Practice’ in their PubMed searches to access all the general practice research, regardless of their country of origin.
Acceptability of magnetic resonance imaging for prostate cancer diagnosis with patients and GPs: a qualitative interview study
Authors: Merriel Samuel WD , Archer Stephanie , Forster Alice S , Eldred-Evans David , McGrath John S , Ahmed Hashim U , Hamilton Willie , Walter Fiona M
Published: October 2023

Background

Magnetic resonance imaging (MRI) of the prostate is a new, more accurate, non-invasive test for prostate cancer diagnosis.

Aim

To understand the acceptability of MRI for patients and GPs for prostate cancer diagnosis.

Design and setting

Qualitative study of men who had undergone a prostate MRI for possible prostate cancer, and GPs who had referred at least one man for possible prostate cancer in the previous 12 months in West London and Devon.

Method

Semi-structured interviews, conducted in person or via telephone, were audio-recorded and transcribed verbatim. Deductive thematic analysis was undertaken using Sekhon’s Theoretical Framework of Acceptability, retrospectively for patients and prospectively for GPs.

Results

Twenty-two men (12 from Devon, age range 47–80 years), two patients’ partners, and 10 GPs (6 female, age range 36–55 years) were interviewed. Prostate MRI was broadly acceptable for most patient participants, and they reported that it was not a significant undertaking to complete the scan. GPs were more varied in their views on prostate MRI, with a broad spectrum of knowledge and understanding of prostate MRI. Some GPs expressed concerns about additional clinical responsibility and local availability of MRI if direct access to prostate MRI in primary care were to be introduced.

Conclusion

Prostate MRI appears to be acceptable to patients. Some differences were found between patients in London and Devon, mainly around burden of testing and opportunity costs. Further exploration of GPs’ knowledge and understanding of prostate MRI could inform future initiatives to widen access to diagnostic testing in primary care.
TRANSFORMATION OF THE MODERN LABOR MARKET IN THE CONDITIONS OF DIGITAL TRANSFORMATION OF THE ECONOMY
Authors: Shkurat M. , Iurovytskiy Ia. ,   Vasyl Stus Donetsk National University,   Vasyl Stus Donetsk National University
Published: October 2023

The article is devoted to the study of transformational changes in the labor market under the influence of the spread of the processes of digital transformation of the economy. Scientific approaches to the content of the "digital transformation" category have been analyzed. It was concluded that digital transformation reflects the process of digitization, which is one of the defining trends in the development of human civilization. The main indicators of digitalization of the economy have been determined. Attention is focused on the continuous impact of digital transformations on the sphere of population employment. The effects of digitalization of the economy on the employment of the population at different levels of the economy: at the level of individual companies, at the sectoral level, and at the macro level have been studied. Five new characteristics of the employment system due to the digitalization of the economy are highlighted: the emergence of new forms of competition in the labor market (between high-value employees; between employers for labor); formation of almost unlimited virtual space for labor mobility of employees; high level of innovativeness and dynamism of the labor market; specific demographic structure of the digital labor market; digital employment can be a tool to ensure balance in the labor market. A number of risks in the field of employment of the population as a result of the digital transformation of the economy have been studied, in particular, a possible increase in the level of unemployment, automation of jobs, updating of work skills, difficulty in employment of the population of various age groups, in particular, the elderly. It was concluded that under the influence of digital transformations of the economy, the labor market expands the employment opportunities of the population, transforms the nature and conditions of work, increases the requirements for the qualifications and competencies of employees, and determines the formation of modern regulatory mechanisms of social and labor relations. The expediency of conducting further scientific research on the transformation of the labor market in the conditions of deepening the processes of digital transformation of the economy is substantiated. Keywords: labor market, employment, digital transformation, digital economy, digitalization, digital technologies.