Continuous Introduction Research Articles

Surface defect inspection of industrial products with object detection deep networks: a systematic review

One of the focal points in industrial product defect detection lies in the utilization of deep learning-based object detection algorithms. With the continuous introduction of these algorithms and their refined models, notable achievements have been attained. However, challenges persist in industrial settings, such as substantial variations in defect scales, the delicate balance between accuracy and speed, and the detection of small objects. Various methods have been proposed to address these challenges and propel the advancement of defect detection. To comprehensively review the latest developments in deep learning-based industrial product defect detection algorithms and foster further progress, this paper encompasses typical datasets and evaluation metrics used in industrial product defect detection, traces the development history of supervised one-stage and two-stage object detection algorithm-based and unsupervised algorithm-based industrial defect detection methods, discusses major challenges, and outlines future directions. It highlights the potential for further improving the accuracy, speed, and reliability of defect detection systems in industrial applications.

Economic and biological assessment of a new medium-ripened variety of soft winter wheat Priazovye

Relevance. In the Russian Federation, winter common wheat is the main food and strategic crop. Permanent improvement of productivity and quality of wheat grain, reducing its production costs is the main task of agricultural production. To solve this problem, the leading place is given to the continuous and constant creation and introduction into production of new competitive wheat varieties, highly adapted to stress factors, with guaranteed high yields and high grain quality.Methods. The research was carried out in the southern zone of the Rostov region at the experimental sites of the Federal State Budgetary Scientific Institution ANTS “Donskoy” in 2021–2023 in order to create a new variety of soft winter wheat capable of forming not only high yields, but also having high frost resistance, drought resistance, resistance to leaf diseases, possessing high rheological and technological properties of grain and flour.Results. The winter common wheat variety Priazovie was developed by stepwise hybridization using the varieties Voyazh and Tanya. This is a highly productive variety. On average, over three years (2021–2023) of study in the competitive variety testing, the productivity of the variety laid in green manure fallow was 9.88 t/ha, exceeding that of the standard variety by 1.56 t/ha. The variety is capable of producing high yields after various forecrops. The maximum productivity of the variety (12.23 t/ha) was obtained in green manure fallow in 2022. The variety forms a high stem capacity (up to 800 pcs/m²), and is characterized by high resistance to the main leaf diseases, such as powdery mildew, brown and yellow mildew, loose smut, leaf blotch, etc. According to the main indicators of grain and flour quality, it belongs to valuable wheat, in terms of frost resistance (73.3%) it surpasses the standard Ermak variety (69.2%).

The prospects for the introduction of a mesoamerican species chia Salvia hispanica L. in the conditions of the southern forest-steppe of Western Siberia

Relevance. This article presents the results of breeding work and the introduction of the Mesoamerican culture Spanish sage or chia (Salvia hispanica L.), which is currently one of the most popular pseudo-grain crops from the family of Lamiaceae in Western countries due to its unique seeds rich in nutrients, PUFA, dietary fiber and antioxidants. In 2009, the European Union considered the seeds of the plant to be a promising type of food. There are only 17 registered genotypes of culture in the world, in the collection of GRR VIR there are two forms obtained from European countries. There are no registered varieties of Spanish sage in the state register of breeding achievements approved for use in the territory of the Russian Federation. The research of this culture is limited only by the biological side: the study of morphobiological features, its use for decorative purposes.Material and methodology. The research was conducted in the educational and experimental farm of the Omsk State Agrarian University in 2019-2023. The objects of research were several samples of various ecological and geographical origin and 2 new forms of Spanish sage obtained during local selection. All records and observations were carried out according to the following methods: field experience in vegetable growing (S.S. Litvinov, 2011), State variety testing of agricultural crops (1989), assessment of primary introduction by G.P. Semenova (2001) and variety assessment of floral ornamental plants by V.N. Bylov (1971).Results. As a result of continuous year-round introduction work, the breeders of the Omsk State Agricultural University managed to overcome the photoperiodic sensitivity of the plant and obtain adaptive forms 0/18 and 3/18. An assessment of the decorative value, the success of the introduction and the possibility of introducing new samples into production in the conditions of the southern forest-steppe of Western Siberia is given. The first of the locally obtained forms, as more productive, was transferred to the state variety testing in 2023 under the assumed name of the variety "Siberian Emerald". Breeding work in this direction continues.

Update on the Obstetric Anesthesia Practice in Flanders/Belgium: A 10-year follow-up survey and review

Background: With 75% of women receiving neuraxial anesthesia for labor and cesarean section (CS) in Flanders, Belgium, obstetric anesthesia is an essential part of perinatal care. Despite advancements in obstetric anesthesia and guidelines being updated regularly, past surveys have shown great variability among hospitals. Objective: This investigation aims to observe current obstetric anesthesia practices, compare them with previous surveys, and assess adherence to guidelines among anesthesiologists. Methods: An online questionnaire-based survey, approved by the KU Leuven Ethics Committee, was conducted focusing on three main topics: analgesia during labor, anesthesia for CS, and postoperative analgesia after CS. The survey, consisting of 127 questions, was distributed via email to the heads of anesthesia departments in 57 Flemish hospitals providing obstetric anesthesia care. Responses were anonymously analyzed. Results: For labor analgesia initiation, a conventional epidural with administration of ropivacaine 0.2% (+- sufentanil) remains the most widespread used technique, although Combined-Spinal Epidural (CSE) has gained significant popularity. Patient-controlled epidural analgesia (PCEA) in combination with continuous epidural infusion (CEI) is the preferred maintenance method, however programmed-intermittent bolus (PIEB) has found its way into standard practice. CSs are mostly done by performing CSE or single shot spinal, using hyperbaric bupivacaine 0.5% with sufentanil. Spinal-induced hypotension is treated with a combination of left lateral tilt, fluid administration and vasopressor administration, usually as a bolus. Post-CS pain is mainly treated by a combination of oral/ parenteral analgesics and neuraxial analgesia (PCEA +- CEI), with only a minority choosing regional techniques such as wound infiltration, transverse abdominal plane blocks, quadratus lumborum blocks, etc. Conclusion: Compared to previous surveys, the Flemish anesthesiologists adhere well to the latest guidelines and gold standards in obstetric anesthesia, consistently modernizing their practices. Nevertheless, with the continual introduction of novel techniques and methods, it is imperative for practitioners to maintain efforts in pursuing ongoing innovation.

Comparison of fixed braces and clear braces for malocclusion treatment

BackgroundTo study and compare the effects of clear aligners without brackets and traditional fixed aligners in orthodontic treatment.MethodsThe samples were collected from January 2022 to April 2023. The control group (n = 26) received orthodontic treatment using traditional fixed appliances. The research group (n = 20) received orthodontic treatment using the clear aligners without brackets. Compare the therapeutic effects and related evaluation indicators between two groups.ResultsThe total effective ratio was compared between the 2 groups, and the study group was greater(P < 0.05). After treatment, the detected values of the periodontal condition indicators (plaque index, debris index, and gingival bleeding index), serum inflammatory factors (CRP, IL-6 and TNF-α) of the two groups, were less than before, also were all less than the control group. (P < 0.05). After therapy, in comparison of the control group, the value of mastication efficiency, comfort and psychological evaluation, sleep indicators and the points of the four dimensions of life quality in the study group was greater, and the detection results were obviously greater than before(P < 0.05).ConclusionIn the orthodontic therapy of sufferers with malocclusion, compared with the traditional fixed appliance, the clear aligners without brackets can enhance the treatment effects, improve the periodontal condition and masticatory function, and reduce the inflammatory responses, so that patients can feel more comfortable, thereby improving their psychology, sleep and quality of life. In the future, with the continual advancement of technology and people’s pursuit of beauty, the application of clear aligners without brackets in orthodontic treatment will become more and more extensive. The continuous introduction of new materials and new technologies will further improve the effects and comfort of the clear aligners without brackets, reduce treatment time and discomfort, and also reduce patients’ resistance to aligners, bringing patients a better treatment experience.

Host-feeding preferences and temperature shape the dynamics of West Nile virus: A mathematical model to predict the impacts of vector-host interactions and vector management on [formula omitted]

West Nile virus (WNV) is prevalent across the United States, but its transmission patterns and spatio-temporal intensity vary significantly, particularly in the Eastern United States. For instance, Chicago has long been a hotspot for WNV cases due to its high cumulative incidence of infection, with the number of cases varying considerably from year to year. The abilities of host species to maintain and disseminate WNV, along with eco-epidemiological factors that influence vector-host contact rates underlie WNV transmission potential. There is growing evidence that several vectors exhibit strong feeding preferences towards different host communities. In our research study, we construct a process based weather driven ordinary differential equation (ODE) model to understand the impact of one vector species (Culex pipiens), its preferred avian and non-preferred human hosts on the basic reproduction number (R0). In developing this WNV transmission model, we account for the feeding index, which is defined as the relative preference of the vectors for taking blood meals from a competent avian host versus a non-competent mammalian host. We also include continuous introduction of infected agents into the model during the simulations as the introduction of WNV is not a single event phenomenon. We derive an analytic form of R0 to predict the conditions under which there will be an outbreak of WNV and the relationship between the feeding index and the efficacy of adulticide is highly nonlinear. In our mechanistic model, we also demonstrate that adulticide treatments produced significant reductions in the Culex pipiens population. Sensitivity analysis demonstrates that feeding index and rate of introduction of infected agents are two important factors beside the efficacy of adulticide. We validate our model by comparing simulations to surveillance data collected for the Culex pipiens complex in Cook County, Illinois, USA. Our results reveal that the interaction between the feeding index and mosquito abatement strategy is intricate, especially considering the fluctuating temperature conditions. This induces heterogeneous transmission patterns that need to be incorporated when modelling multi-host, multi-vector transmission models.

The effect of vaccination of gilts with a pre-farrow RNA particle vaccine following pre-breeding natural planned exposure on piglet growth and viral shedding

The objective of this study was to compare rotavirus shedding and performance of piglets from gilts immunized using natural planned exposure (NPE) or an RNA particle vaccine (RPV) prior to farrowing following initial NPE pre-breeding. A final total of 117 farrowed gilts and their piglets were enrolled into 4 groups. All gilts received two administrations of NPE prior to breeding. Gilts in group 1 were later given three NPE administrations at 5, 4, and 3 weeks prior to farrowing (WPF). Group 2 was dosed with an RNA particle vaccine (RPV) at 5 and 3 WPF and group 3 at 1 WPF only. Group 4 (control group) did not receive any NPE or RPV. Fecal samples from gilts and fecal swabs from their piglets were tested for rotavirus A (RVA), rotavirus B (RVB), and rotavirus C (RVC) by qRT-PCR. The 117 gilt samples were tested individually at 5 sampling points from pre-breeding to entry into the farrowing rooms. Piglet samples were pooled by litter (3 piglets sampled per litter) and tested at 3, 7, 14, and 21 days of age. The clinical and production impact of the treatments were assessed by comparing average adjusted weaning weights, the percentage of piglets weighing in the bottom 10% of study piglets at weaning, the percentage of piglets placed in the nursery, and the percentage of litters with the presence of diarrhea. No statistically significant differences were identified but there appeared to be several interesting numerical trends that are both biologically plausible and consistent among treatment groups. The control group, which received no pre-farrow immunization, had the highest percentage of litters with diarrhea at all time points and overall in the farrowing house. A numerical trend was also observed on average cycle threshold (Ct) values for RVC in piglets. Interestingly, the control group had the lowest numerical average Ct value at 7, 14, and 21 days of age. Ct values for RVA were consistently lower than for RVC in the stock solution and natural planned exposure gruel. This likely correlated to a lower level of RVC exposure in all gilts pre-breeding and group 1 gilts pre-farrow. This may have an inverse correlation to the higher levels of shedding of RVC in piglets. The lack of statistical significance between treatment groups with regard to diarrhea and weights in the piglets may be attributed to sample size, lack of sufficient natural rotavirus challenge, pre-breeding NPE in all gilts, or a variety of other reasons. Replication of this study with a larger sample size, using a challenge model, or relocated to a farm with increased natural rotavirus clinical challenges may yield different results. If beneficial under different conditions, the RPV would eliminate many of the risks associated with NPE administration, including continuous introduction of live virus on-farm, potential spread of other pathogens, difficulty of isolating on-farm strains, and labor and cost of producing NPE material. Limitations of the original research include the use of quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) to measure the levels of RVA and RVC in the stock solution and gruel and to monitor RV shedding, rather than techniques with the ability to differentiate live and non-viable virus. Additionally, these studies were performed on an all-gilt breeding farm. It may be more challenging to appreciate differences in treatment groups on a multiparous sow farm due to the higher level of immunity correlated to increasing parity. These immunization protocols were designed to be applicable in a field setting for routine rotavirus immunization, though their feasibility must be carefully considered before implementation on each individual farm.

A DNA barcode inventory of the genus Ulva (Chlorophyta) along two Italian regions: updates and considerations

Abstract The genus Ulva Linnaeus 1753 is well known for its global distribution and containing many taxonomically debated species. Their morphological plasticity and cryptic nature overrepresent and underrepresent, respectively, the biodiversity of these species. The difficulty in morphologically identifying Ulva species has led to the accumulation of many species names that are currently considered synonyms. The correct identification of these species is crucial due to their significant role in marine ecosystems and mariculture. In the last 30 years, several checklists and taxonomic contributions have been made from the Italian coast on Ulva species, almost entirely based on morphological studies and only a few papers with molecular data have been published. In this study, samples deposited at the Institute of Marine Sciences (ISMAR) and Phycological Lab (PHL) herbaria have been reviewed by sequencing the chloroplast-encoded elongation factor Tu (tufA) barcode marker. The results obtained provide an update of the DNA barcode inventory of Ulva species for the Lagoon of Venice and the Strait of Messina, two ecosystems characterized by a high algal biogeographical diversity and continuous introduction due to anthropogenic activities. Here, ten Ulva species were identified based on molecular data. Furthermore, we record the presence of Ulva chaugulei on the coast of Tunisia.

Nitrogen stable isotope analysis of sulfonamides by derivatization-gas chromatography-isotope ratio mass spectrometry

The continuous introduction of micropollutants into the environment through livestock farming, agricultural practices, and wastewater treatment is a major concern. Among these pollutants are synthetic sulfonamide antibiotics such as sulfamethoxazole, which are not always fully degraded and pose a risk of fostering antimicrobial resistance. It is challenging to assess the degradation of sulfonamides with conventional concentration measurements. This study introduces compound-specific isotope analysis of nitrogen isotope ratios at natural abundances by derivatization-gas chromatography hyphenated with isotope ratio mass spectrometry (derivatization-GC-IRMS) as a new and more precise method for tracing the origin and degradation of sulfonamides. Here, sulfamethoxazole was used as a model compound to develop and optimize the derivatization conditions using (trimethylsilyl)diazomethane as a derivatization reagent. With the optimized conditions, accurate and reproducible δ15N analysis of sulfamethoxazole by derivatization-GC-IRMS was achieved in two different laboratories with a limit for precise isotope analysis of 3 nmol N on column, corresponding to 0.253 µg non-derivatized SMX. Application of the method to four further sulfonamides, sulfadiazine, sulfadimethoxine, sulfadimidine, and sulfathiazole, shows the versatility of the developed method. Its benefit was demonstrated in a first application, highlighting the possibility of distinguishing sulfamethoxazole from different suppliers and pharmaceutical products.Graphical

The role of trust and distrust in technology usage: An in-depth investigation of traffic information apps usage for mandatory and non-mandatory trips

Following the rapid pace of technological advancement and the continuous introduction of new technologies, the study of user acceptance has gained considerable attention. While previous studies have highlighted the role of trust in technology acceptance and adoption, the significance of distrust has received little attention and is often treated as the other end of the trust scale. This study aims to examine the separate roles of both trust and distrust in technology adoption by investigating the relationship between the usage of traffic information apps (TIAs) and the trust and distrust associated with them. To achieve this, a revealed preference questionnaire is designed, and data from a representative sample of 1028 Sydney residents is collected. The validity of treating trust and distrust as two separate constructs is empirically examined by contrasting a single-construct model versus a double-construct model. Both models are integrated choice and latent variable models with structural and choice components. The findings demonstrate that the model with trust and distrust as two distinct latent constructs outperforms the model with one latent construct. The results of the double latent construct model indicate that trust has a significant positive effect on using TIAs for both work and leisure trips, while distrust has a significant negative effect only for work trips. These findings underscore the importance of effectively managing distrust in technology, particularly in situations related to health and safety where individuals’ usage of the technology in these circumstances can save lives.

Decoding the impact of fiscal decentralization on urban pollution intensity in China: A spatial econometric analysis

Utilizing city-level data from China, the paper employs a spatial econometric analysis to investigate the impact of fiscal decentralization on urban pollution. Empirical evidence indicates: (1) In the context of the emphasis of ecological civilization construction in China, an increase of fiscal autonomy for local governments is conducive to mitigating urban pollution intensity. Specifically, fiscal decentralization in one city not only promotes a reduction in local pollution intensity but alleviates environmental pollution problems in adjacent cities through spatial spillover effects. (2) Industrial structure upgrading and green technology progress become crucial measures for local governments to realize pollution reduction targets through fiscal expenditure. (3) Heterogeneity analysis reveals that the positive significance of decentralization is most prominent in the eastern China, while local governments with fiscal autonomy in central region tend to transfer pollution to neighboring cities. (4) There is a threshold characteristic for fiscal decentralization to promote a reduction in urban pollution intensity, and its marginal effect becomes more significant accompanied by continuous introduction of sophisticated foreign direct investment. Finally, the paper summarizes the potential significance of fiscal decentralization among Chinese local governments against the background of “Chinese-style decentralization” and proposes corresponding policy recommendations.

Target and suspect screening of psychoactive substances in seizures and oral fluid exploiting retention time prediction and LC-MS/MS analysis

BackgroundNovel psychoactive substances (NPS) are a group of substances, mainly of synthetic origin, characterized by toxicological properties extremely dangerous. The main difficulty in recognizing NPS in seizures and biological samples lies in their dynamic nature, related to the continuous synthesis and introduction on the market of new drugs, often with very similar structures to existing ones. The aim of this study was the creation of a robust and versatile method for the analysis of traditional drugs and NPS in different matrices. ResultsBoth target analysis and suspect screening methodologies were developed. The strategy used for suspect screening allowed to collect data through a scheduled multi reaction monitoring (sMRM) survey which triggered the collection of enhanced product ion (EPI) spectra when a compound met information dependent acquisition (IDA) criteria. The retention time of the different drugs, which was crucial to define the sMRM survey scan parameters, was predicted with a Quantitative Structure Retention (Chromatographic) Relationship (QSRR) model by Multiple Linear Regression. The model was validated through the evaluation of training set predictions, an external validation set and a leave-one out strategy; the results showed that the method fit for its purpose. The target method was validated in oral fluid as a testing matrix, with excellent results in term of recovery, accuracy, precision and matrix effect. Finally, the performances of the suspect method were evaluated by analysing a mixture containing 8 reference standards not included in the initial dataset, as well as seizures and real oral fluid samples. Four NPS were putatively identified in the analysed samples. SignificanceThe advantage of the proposed approach is the possibility of quantifying 65 classical drugs of abuse and NPS and, at the same time, detect and putatively identify 146 additional drugs in one single LC-MS/MS run. This is an innovative strategy for multi analyte detection and enables detection of low concentrations of drugs in complex biological matrices such as oral fluid. Considering the highly dynamic drug market, a strength of this strategy is that the analytical method can be kept up to date through the addition of new compounds based on the last drug monitoring bodies alerts without the need of authentic standards.

Continuous Introduction of H5 High Pathogenicity Avian Influenza Viruses in Hokkaido, Japan: Characterization of Viruses Isolated in Winter 2022–2023 and Early Winter 2023–2024

High pathogenicity avian influenza (HPAI) has impacted poultry and wild birds globally. The number of H5 HPAI virus (HPAIV) infection cases in wild birds in Hokkaido (Northern Japan) was high in the last two seasons, contributing to virus spillover to resident birds and poultry. Therefore, H5 HPAIVs in birds and mammals in Hokkaido in winter 2022–2023 and 2023–2024 were monitored and viruses were phylogenetically, antigenically, and pathogenetically characterized. Thirty HPAIV isolates were subtyped and pathotyped by sequencing the hemagglutinin (HA) gene of viruses. Phylogenetic analysis of the HA gene revealed that all isolated HPAIVs were categorized into clade 2.3.4.4b and divided into three groups (G2b, G2c, and G2d). Most isolates belonging to subgroup G2d clustered with isolates in winter 2021–2022 in Hokkaido. The other isolates were categorized into two subgroups, G2b and G2c, mainly composed of isolates in Honshu Island in winter 2021–2022 and 2022–2023, respectively. Two H5 HPAIVs isolated in Eastern Russia in spring and autumn 2022 were genetically close to most Hokkaido isolates (G2d), and a virus isolated in Hokkaido in November 2023 was also grouped in subgroup G2d. Further analysis of all eight gene segments identified six types of gene constellations. Cross-hemagglutination inhibition test indicated that the antigenicity of H5 HPAIVs isolated in the last several seasons was similar within them but slightly different from that in the 2010s. Three chicken breeds were intranasally challenged with four representative isolates to assess their pathogenicity. All chickens except one broiler chicken were dead until 5-day postchallenge with different pathogenicity of these viruses. The pathogenicity of one HPAIV strain was significantly lower in broiler chickens than in layer chickens. The mixture of multiple characteristics of HPAIVs in Hokkaido was confirmed by bird migration routes. Thus, many HPAIVs can be brought and scattered anywhere on Earth.

One-Step Synthesis of TiO2/SiO2-np Nanocomposite Photocatalytic Multilayer Films: Effect of Incorporation Time Sequences of SiO2 Nanoparticles during the TiO2 Film Growth.

In this article, the TiO2/SiO2-np nanocomposite multilayer films were synthesized in a single step by reactive magnetron sputtering combined with a nanoparticle aerosol jet. The SiO2 nanoparticles (SiO2-np) were introduced into a growing TiO2 thin film with different time sequences during deposition for a fixed duration. The SiO2-np acting as impurities are introduced into the TiO2 to willingly disturb its growth and to cause growth defects in order to increase the specific surface area of the photocatalytic film. In reason of the non-photoactive properties of the SiO2 nanoparticles, their introduction allows us to study only the effects induced on the film morphology, microstructure, and photocatalytic properties by their incorporation. The fractographies and topographies reveal strong changes in the morphologies depending on the time sequence of the nanoparticle introduction in the thin films. The introduction of SiO2-np from the beginning of the TiO2 film growth leads to the formation of high and large growth defects resulting in a highly diffusive surface. In addition, XRD analysis shows that the crystallite size tends to decrease as the composite film layer gets closer to the surface. Their photocatalytic performance is obtained by following the degradation of orange G dye under UV-visible irradiation. The photocatalytic performance is not only related to the specific surface area of the catalyst film, and the coverage of the photoactive phase on the surface, but also to the crystal quality of the photoactive phase. Furthermore, the samples exhibit good photostability, maintaining the same activity after four degradation cycles. In the specific case of TiO2/SiO2-np, it is demonstrated that the introduction of the nanoparticles only at the beginning of the film growth is more efficient than a continuous introduction. This result suggests that this original process allows the use of a relevant strategy for the nanoparticle introduction according to the required functionality.

Multiple invasion routes have led to the pervasive introduction of earthworms in North America.

Soil-dwelling organisms play a key role in ecosystem functioning and the delivery of ecosystem services. As a consequence, soil taxa such as earthworms are iconic in good land management practices. However, their introduction in places where species did not co-evolve with them can trigger catastrophic changes. This issue has been largely ignored so far in nature management policies because of the positive image of soil taxa and the lack of knowledge of the magnitude of soil fauna introductions outside their native range. Here we address this gap with a large spatio-temporal database of introduced alien earthworms. We show that 70 alien earthworm species have colonized the North American continent. They have larger geographical ranges than native species and novel ecological functions, representing a serious threat to the biodiversity and functioning of native ecosystems. The probably continuous introduction of alien earthworms, from a variety of sources and introduction pathways, into many distant and often empty niches, contrasts with the classical patterns of invasions in most aboveground taxa. This suggests that earthworms, and probably other soil organisms, constitute a major but overlooked pool of invasive species that are not adequately managed by existing control and mitigation strategies.

Insights into the effect of water content on asphaltene aggregation behavior and crude oil rheology: A molecular dynamics simulation study

In the production and transportation of crude oils, the interaction between asphaltene components and water is inevitable, significantly impacting asphaltene aggregation, deposition behaviors, emulsion stability, and rheological properties of crude oils. However, the comprehension of the oil-water interaction mechanisms and corresponding viscosity responses remains unclear. Hence, we performed molecular dynamics (MD) simulations to investigate the effect of varying water content on distinct asphaltene aggregation states and the rheological behavior of crude oils. The microscopic mechanisms underlying the aggregation and rheological properties were elucidated. Our MD results show that with the continuous introduction of water, the original bulk phase aggregation of asphaltenes undergoes a transition towards interfacial adsorption behavior, culminating in the formation of water-in-crude oil emulsions. The strength and driving forces of this interfacial adsorption are influenced by different polar functional groups of asphaltene. Besides, by elucidating the contributions of external molecular friction and internal structural deformation to the viscosity, two viscosity-influencing mechanisms are revealed. Furthermore, we delineate a physical viscosity scheme. These intriguing discoveries hold promise for advancing the comprehension of rheological behavior in crude oils with distinct aggregation states, providing theoretical guidance for efficient development of crude oils.

Emergence of highly resistant Candida auris in the United Arab Emirates: a retrospective analysis of evolving national trends.

The Centers for Disease Prevention and Control lists Candida auris, given its global emergence, multidrug resistance, high mortality, and persistent transmissions in health care settings as one of five urgent threats. As a new threat, the need for surveillance of C. auris is critical. This is particularly important for a cosmopolitan setting and global hub such as the United Arab Emirates (UAE) where continued introduction and emergence of resistant variant strains is a major concern. The United Arab Emirates has carried out a 12 years of antimicrobial resistance surveillance (2010-2021) across the country, spanning all seven Emirates. A retrospective analysis of C. auris emergence from 2018-2021 was undertaken, utilising the demographic and microbiological data collected via a unified WHONET platform for AMR surveillance. Nine hundred eight non-duplicate C. auris isolates were reported from 2018-2021. An exponential upward trend of cases was found. Most isolates were isolated from urine, blood, skin and soft tissue, and the respiratory tract. UAE nationals nationals comprised 29% (n = 186 of 632) of all patients; the remainder were from 34 other nations. Almost all isolates were from inpatient settings (89.0%, n = 809). The cases show widespread distribution across all reporting sites in the country. C. auris resistance levels remained consistently high across all classes of antifungals used. C. auris in this population remains highly resistant to azoles (fluconazole, 72.6% in 2021) and amphotericin. Echinocandin resistance has now emerged and is increasing annually. There was no statistically significant difference in mortality between Candida auris and Candida spp. (non-auris) patients (p-value: 0.8179), however Candida auris patients had a higher intensive care unit (ICU) admission rate (p-value <0.0001) and longer hospital stay (p < 0.0001) compared to Candida spp. (non-auris) patients. The increasing trend of C. auris detection and associated multidrug resistant phenotypes in the UAE is alarming. Continued C. auris circulation in hospitals requires enhanced infection control measures to prevent continued dissemination.

LYMPHOCYTIC CHORIOMENINGITIS VIRUS INFECTION

Background: Lymphocytic choriomeningitis virus (LHMV) infection is a neglected rodent-borne zoonotic infection but it is found all over the world because of the cosmopolitan distribution of its reservoirs. The diagnostic of this disease is not widely applied that is why it has been underreported. The aim of this study is to investigate infection with LCMV in hospitalized patients in 2015-2022 in Bulgaria and to analyse the data compared to the worldwide data available in this field of research. Materials/methods: A total of 66 serum samples and 25 cerebrospinal fluid (CSF) samples from 73 patients with suspected LCMV infection from different hospitals in Bulgaria were collected. All samples were tested with a commercial enzyme-linked immunosorbent assay (Human LCMV-Ab ELISA, SSBT, China), based on the principle of double-antibody sandwich technique to detect Human LCMV-Antibody. Results: A total of 11/91 (12.09%) positive samples were found in 5 males and 6 females throughout the study period. The positive samples were from patients from the cities: Sofia, Stara Zagora, Montana. A total of 3/25 (12%) positive samples were from CSF samples and 8/66 positive samples (12.12%) were from serum samples. Conclusions: It’s found that this infection occurs in our country and should not be underestimated, due to the possible severe neurological course and the danger of fetal damage in pregnant women. The diagnosis of LCMV infection is based on previous experience, placed in the light of the continuous introduction of new more sensitive and specific approaches.

Managing extreme cryptocurrency volatility in algorithmic trading: EGARCH via genetic algorithms and neural networks

&lt;abstract&gt; &lt;p&gt;The blockchain ecosystem has seen a huge growth since 2009, with the introduction of Bitcoin, driven by conceptual and algorithmic innovations, along with the emergence of numerous new cryptocurrencies. While significant attention has been devoted to established cryptocurrencies like Bitcoin and Ethereum, the continuous introduction of new tokens requires a nuanced examination. In this article, we contribute a comparative analysis encompassing deep learning and quantum methods within neural networks and genetic algorithms, incorporating the innovative integration of EGARCH (Exponential Generalized Autoregressive Conditional Heteroscedasticity) into these methodologies. In this study, we evaluated how well Neural Networks and Genetic Algorithms predict "buy" or "sell" decisions for different cryptocurrencies, using F1 score, Precision, and Recall as key metrics. Our findings underscored the Adaptive Genetic Algorithm with Fuzzy Logic as the most accurate and precise within genetic algorithms. Furthermore, neural network methods, particularly the Quantum Neural Network, demonstrated noteworthy accuracy. Importantly, the X2Y2 cryptocurrency consistently attained the highest accuracy levels in both methodologies, emphasizing its predictive strength. Beyond aiding in the selection of optimal trading methodologies, we introduced the potential of EGARCH integration to enhance predictive capabilities, offering valuable insights for reducing risks associated with investing in nascent cryptocurrencies amidst limited historical market data. This research provides insights for investors, regulators, and developers in the cryptocurrency market. Investors can utilize accurate predictions to optimize investment decisions, regulators may consider implementing guidelines to ensure fairness, and developers play a pivotal role in refining neural network models for enhanced analysis.&lt;/p&gt; &lt;/abstract&gt;

IT technologies in the development of digital literacy

The article is devoted to the study of the impact of IT-technologies on the development of digital literacy in modern society. It is noted that nowadays no sphere of social activity can function without IT-technologies, which leads to the need for the formation and development of digital literacy and digital competencies in modern man. The authors point out that the specifics of IT-technologies, their influence and prevalence today require a comprehensive interdisciplinary approach to study. This study of digital products, proves the effectiveness of IT-technologies in professional activities (mostly in translation practice) while solving a wide range of problems. On the example of Google Translate and PROMT services, the capabilities of IT-technologies that simplify and speed up the translator's work and ensure high quality of translation are shown. Based on the results of the study, the authors conclude that IT-technologies serve as a tool for realizing professionally significant goals and tasks, the solution of which is possible in the presence of digital competencies. The article emphasizes the importance of forming digital literacy of specialists in various industries on the basis of continuous introduction and improvement of IT skills through systematic work with IT technologies and programs.