The PV-storage virtual synchronous generator (VSG) is an emerging inverter control strategy for a weak grid; however, it is susceptible to random load perturbation, which causes unnecessary charging and discharging of energy storage, affecting its lifetime. In this paper, VSG selective input and output strategy is proposed to improve the lifespan of energy storage. The strategy comprises two PV-storage VSG operation modes and its power coordination control method. Firstly, the strategy of selective VSG input based on the disturbance size is proposed, and the VSG input moment is obtained by solving the system of model equations offline. The selective VSG start method is realized by matching changes in disturbance frequency online so that the grid can preferentially utilize the physical generator inertia. Secondly, the dynamic exit strategy of VSG control based on dynamic frequency characteristics is constructed to avoid the secondary throughput of PV-storage VSG during the frequency recovery phase after the grid is disturbed. It is necessary as the grid variation may affect the energy storage life and reduce frequency recovery speed. Finally, the correctness and effectiveness of the proposed scheme are verified by simulation and semi-physical experiment.

Water diffusion significantly contributes to abnormal temperature rise in composite insulators. At the same time, the material performance defect caused by the composite insulator production process can further increase moisture intrusion. To propose optimized heating measures for composite insulators from the material itself, this paper conducts research on the ingredient process of composite insulator sheath and the production process of composite insulator core rods, respectively. We establish the water absorption model of aluminium hydroxide particles and the penetration model of epoxy resin. Then we identified that the flame retardant particle size is a factor that affects the water absorption of the sheath, while epoxy resin liquid viscosity and fibre volume fraction are factors that affect the porosity of the core rod in the process. Water absorption experiments are conducted to verify the positive correlation between the particle size of flame retardant and the saturated water absorption rate of the sheath. Our porosity testing has confirmed that low-viscosity liquids and high-fibre volume fraction can reduce the porosity of the core rod. Based on these findings, we propose heat generation optimization measures for the sheath and core rod from a process perspective.

In this study, the coupled Eulerian-Lagrangian approach MPPIC-VOF is adopted, which is capable of capturing solid particle motion as well as fluid phase development simultaneously. Prior to three-phase flow simulation, two-phase air-water flow in a specific range of gas and liquid superficial velocities with slug and plug flow patterns is simulated. Then, polypropylene particles are injected as the solid phase into the air-water flow and the effects of particles on pressure drop, void fraction, and flow patterns are studied. The pressure drop and void fraction results are validated for both two-phase and three-phase flows by different correlations and experimental results. As a result of particle injection at the low concentration of 0.5%, void fraction increases by 13.7% and pressure drop changes on average by 18%, respectively. However, there was no significant change in the flow patterns.

The particular characteristics of deaf-mutes make them more likely to have mental health problems. Due to their particular way of communication, it is more difficult for them to deal with mental health problems than ordinary people. Nowadays, those psychologists who are good at sign language are in short supply, and remote assistance cannot achieve satisfactory results. Therefore, a library of virtual emotional gestures based on electroencephalogram(EEG) was established and a prototype system for mental health examination of deaf-mutes was proposed, which help deaf-mutes identify their psychological problems in time and assist medical staff to examine the psychological problems encountered by deaf-mutes. In addition, the virtual library of emotional gestures is established with the assistance of the chief physician from a 3A hospital in Henan Province. More importantly, the later experiments demonstrate the applicability of this virtual system.

Virtual Reality (VR) and Augmented Reality (AR) applications are becoming increasingly prevalent. However, constructing realistic 3D hands, especially when two hands are interacting, from a single RGB image remains a major challenge due to severe mutual occlusion and the enormous diversity of hand poses. In this paper, we propose a Disturbing Graph Contrastive Learning strategy for two-hand 3D reconstruction. This involves a graph disturbance network designed to generate graph feature pairs to enhance the consistency of the two-hand pose features. A contrastive learning module leverages high-quality generative features for a strong feature expression. We further propose a similarity distinguish method to divide positive and negative features for accelerating the model convergence. Additionally, a multi-term loss is designed to balance the relation among the hand pose, the visual scale and the viewpoint position. Our model has achieved State-of-the-Art results in the InterHand2.6M benchmark. Ablation studies show the model’s great ability to correct unreasonable hand movements. In subjective assessments, our Graph Disturbance Learning method significantly improves the construction of realistic 3D hands, especially when two hands are interacting.

Desiccation cracking of soil-like materials is a common phenomenon in natural dry environment, however, it remains a challenge to model and simulate complicated multi-physical processes inside the porous structure. With the goal of tracking such physical evolution accurately, we propose an MPM based method to simulate volumetric shrinkage and crack during moisture diffusion. At the physical level, we introduce Richards equations to evolve the dynamic moisture field to model evaporation and diffusion in unsaturated soils, with which a elastoplastic model is established to simulate strength changes and volumetric shrinkage via a novel saturation-based hardening strategy during plastic treatment. At the algorithmic level, we develop an MPM-fashion numerical solver for the proposed physical model and achieve stable yet efficient simulation towards delicate deformation and fracture. At the geometric level, we propose a correlating stretching criteria and a saturation-aware extrapolation scheme to extend existing surface reconstruction for MPM, producing visual compelling soil appearance. Finally, we manifest realistic simulation results based on the proposed method with several challenging scenarios, which demonstrates usability and efficiency of our method.

A great number of virtual museums exhibit archaeological artefacts in an interactive form using 3D digital models to disseminate them to as many users as possible. Currently, 3D models obtained as a result of scanning museum objects have gained a great popularity. This technique allows to faithfully reproduce objects and to expose artefacts too delicate and precious to be presented in the real world. The aim of this paper is to create a virtual museum in the VR world using 3D models obtained by 3D scanning with structured light.  The advantages of optimising mesh models for their use in virtual exhibitions are discussed. Unity and Unreal Engine, were used to create virtual museums in the VR world. Two twin test applications were prepared. This allowed to compare the performance of the developed applications (processor, graphics card and RAM load). A survey was also conducted among the users of the implemented virtual museum application. For immersion in the world of VR, a low-cost solution was used, involving the use of cheap VR frames, a smartphone and a computer. The frames together with the smartphone were used to display the image, while the entire rendering process was performed on the computer.

The internal heat transfer within wheat straw particles is essential to the pyrolysis yield and energy consumption of wheat straw. To investigate this pyrolytic property, the paper first investigates the shape of particles after crushing and show a very pronounced platy structure, especially in the particle size range of 3 - 20 mm. Therefore, a thin rectangular model is more appropriate to describe the particle. On this basis, a mathematical model of heat transfer during pyrolysis of particle is developed and the thermal behavior of the interior of particles is analyzed with the heat of pyrolysis as a heat sink for the interior. The results of the calculations show the importance of platy structural features for heat transfer processes as well as for particle fragmentation. Finally, the residence time of the wheat straw in the pyrolysis reactor is slightly greater than the heating time of the wheat straw particle.

A document by Chelsie Armbruster. Click on the document to view its contents.

The human pathogen Staphylococcus aureus is considered mainly an extracellular, opportunistic pathogen, yet the bacterium is able to survive within and escape from host cells, including macrophages. An agr/ sae mutant of strain USA300 is unable to escape from human macrophages but can replicate and survive within macrophages. We questioned whether such “„non-toxic“” S. aureus resembles the less pathogenic coagulase-negative Staphylococcal species (CoNS) like S. carnosus, S. lugdunensis, S. capitis, S. warneri or S. pettenkoferi. We show that in contrast to the “„non-toxic“” S. aureus strains, the CoNS species are efficiently killed within 24 h post-infection in the macrophage-like THP-1 cells or in human primary macrophages. Bacterial persistence of “„non-toxic“” S . aureus or CoNS induced IL-1ß release but no cell-death. Mutations in genes coding for katalase, copprer transport or the regulatory system GraRS or SigB did not impact bacterial survival in THP-1 cells. Deletion of the superoxide dismutases sodA and sodM impaired S. aureus survival in human primary macrophages but not in THP-1 cells. However, expression of the S. aureus specific sodM in S. epidermidis was not sufficient to protect this species from being killed in THP-1 cells. Thus, at least in those cells better bacterial survival of S. aureus could not be linked to higher protection from ROS. However, “„non-toxic“” S. aureus was found to be insensitive to pH, whereas S. epidermidis was protected when phagosomal acidification was inhibited. Thus, species differences seem to be linked to different sensitivity to acidification.

Bolt looseness may occur on wind turbine (WT）blades exposed to operational and environmental variability conditions, which sometimes can cause catastrophic consequences. Therefore, it is necessary to monitor the loosening state of WT blade root bolts. In order to solve this problem, this paper proposes a method to monitor the looseness of blade root bolts using the sensors installed on the WT blade. An experimental platform was first built by installing various blade sensors for monitoring bolt looseness. Through the physical experiment of blade root bolts looseness, the response data of blade sensors were then obtained under different bolt looseness degrees. Afterwards, by analyzing the sensitivity of the response signal to the looseness of blade root bolts, the types and number of sensors that can judge the looseness of blade root bolts were determined. Finally, the multi-domain sensitive features of response signals were fused to construct a hybrid domain feature set of bolt looseness. The LightGBM classification algorithm was applied to identify different bolt loosening states for this hybrid domain feature data. The identification results of experimental data showed that the proposed method can accurately determine the loosening state of single or multiple WT blade root bolts.

This study evaluated the influence of different access angles on the dynamic cyclic fatigue resistance of ProTaper Next (PTN), Twisted File Adaptive (TFA), and Reciproc Blue (REB) instruments that simulate body temperature in artificial canals. A total of 120 new instruments were used (n=40). PTN, TFA, and REB instruments were divided into four subgroups of 10 for insertion angles (0°, 10°, 20°, and 30°) in a 16-mm stainless steel artificial canal (60° curvature and 5 mm radius) using a customized device for a dynamic cyclic fatigue resistance test at 35°C (intracanal temperature). The number of cycles to fracture (NCF), time to fracture (TtF), and length of the fractured fragment were recorded, and the fractographical surfaces of the fractured fragment were observed using scanning electron microscopy. Data were analyzed with an analysis of variance (ANOVA) and the Krukal–Wallis H test and Tukey, Tamhane’s, and Bonferroni post hoc tests. The significance level was set at P<0.05. The NCF and TtF values of TFA were significantly higher than PTN and REB instruments (P<0.05). The increased inclined angle reduced the NCF and TtF (P<0.05). The maximum length of fractured fragments was observed at an angle of 20° for all instruments (P<0.05). Increased file inclination caused a reduction in the dynamic cyclic fatigue resistance of all instruments.

In this paper, we propose an integrated model for simulating the interaction between crowds and fluid particles. Our focus is on simulating evacuation motion for crowds in the face of sudden floods. Our model treats both the crowd and the water as fluid particles, which allows us to incorporate various forces such as pressure, shear, buoyancy, and active forces to drive the agents. Additionally, we have designed a minimum rotational path-planning algorithm for agents to search for safe destinations during evacuations. To develop practical crowd evacuation strategies, we observed and studied survival techniques from whirlpools and sudden changes in water levels during floods. Our simulated evacuation results provide plausible strategies for crowds to survive dangerous floods.

Clinical and histopathological evidence suggest that the male reproductive system may be negatively impacted in patients with coronavirus disease (COVID-19). The objective of this study is to investigate the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on semen parameters by comparing semen analyses before and after COVID-19 diagnosis in the same patient. We retrospectively analyzed 342 semen analyses by reviewing medical records. The study included two groups of patients: (i) those who underwent two consecutive semen analyses within 6 months, one before (n=114) and one after (n=114) COVID-19 diagnosis, and (ii) a control group (n=114) that was age-matched and did not receive a diagnosis of COVID-19. The study results indicated a significant decrease in semen volume, total sperm count per ejaculate, progressive motile sperm count, total motile sperm count, and normal sperm morphology after SARS-CoV-2 infection in comparison to their respective values before the infection. Subgroup analyses showed that the duration of COVID-19 diagnosis (short-term vs long-term) did not impact the changes in semen parameters. However, fever during the COVID-19 process had a negative effect on semen parameters, particularly sperm concentration, unlike in patients without fever. In conclusion, our findings suggest that SARS-CoV-2 infection is associated with a decline in semen quality, which may potentially impact male fertility. Furthermore, it’s important to note that the negative effects on semen parameters may persist in the long-term. Our results also indicate that fever during active infection could be a significant risk factor that negatively affects spermatogenesis.

Comment on Colavita et al.“Profiling the acute phase antibody response against mpox virus in patients infected during the 2022 outbreak”Yushan Jiang†1, Zhao Wei†1, Chenguang Shen†1

Besides serving as therapeutic agents and building blocks for glycoprotein synthesis, homogeneous synthetic glycopeptides also benefit understanding function of specific glycoform. However, the selectivity coupling of oligosaccharides to a given peptide remains challenging despite the fact that the synthesis of structure-defined complex oligosaccharides has been greatly facilitated by chemoenzymatic based approaches. Herein, a Ca2+-promoted glycosylation approach was developed to exclusively modify phenolic peptide using a panel of biologically important glycans.

To ensure that the crane can smoothly calibrate and align the lifting rod with the beam body lifting hole, it is necessary to use image processing technology to locate and detect the corner coordinates of the crane’s lifting rod. Traditional corner detection methods are not suitable for this scene. This article proposes a new idea for corner positioning, which locates corner coordinates through the intersection of straight lines. Firstly, using the R and G channels of the RGB color space to construct a grayscale difference map is beneficial for Otsu’s threshold segmentation; Secondly, this article proposes an optimal adaptive threshold determination method to filter the number of votes in the clustering results, eliminate interfering straight lines, and improve the clustering centroid calculation method based on the weight calculation formula of different voting proportion, replacing the original clustering centroid as the basis for line fitting; Finally, calculate the corner coordinates of the crane’s grab boom based on the straight line fitting results, and compare the recognition accuracy under different lighting conditions. This method is significantly superior to traditional corner detection methods, providing a method basis for solving the algorithm accuracy and robustness problems of port cranes under multiple environmental variables.

Several techniques have been used to tackle the PAPR problem in Generalized Frequency Division Multiplexing (GFDM) systems. The Selective mapping (SLM) remains the most used alone or in combination with optimization algorithms in order to find optimal phase factors. Unfortunately, the complexity of implementation and the use of many control parameters are the main drawbacks of these techniques. This paper proposes an enhanced SLM technique to further improve the PAPR reduction in the GFDM system without increasing the system complexity. The proposed technique, i.e., JAYA-SLM, combines the JAYA algorithm with the SLM scheme. The simulation results demonstrate that the proposed JAYA-SLM technique is highly efficient in PAPR reduction without increasing the system complexity, wherein fewer used parameters. Also, it improves the system’s power saving and the Bit-Error-Rate (BER) performance when compared to others existing methods.

Background Pre or postnatal exposure to pesticides can result in immune system disorders and development of allergic diseases. The study evaluates the association between breast milk organochlorine pesticide (OCP) levels and development of allergic diseases in the first year of life. Methods The study involved 93 infants and their mothers. Breast milk samples were collected within the first six months of birth and were analysed for the presence of six OCP residues (Endrin, DDD, DDT, DDE, Heptachlor, Lindane) using high-performance liquid chromatography and an acetylcholinesterase-based chronoamperometric biosensor. Infants were monitored for 12 months for any signs of allergies. Results 28 samples contained at least one of the six OCP residues, with Endrin being the most frequently detected OCP at 25.8%. Heptachlor had the highest mean estimated daily intake (EDI) value of 2.42 x10 -3 and the highest mean hazard quotient (HQ) of 4.84. EDI of Endrin, DDE, DDD, and Heptachlor exceeded provisional tolerable daily intake (PTDI) levels in 9, 7, 11, and 11 infants, respectively. The presence of OCP residues in breast milk was not significantly associated with any type of allergy, including food allergies, rhinitis, wheezing episodes, or eczema in the first year of life. Conclusion Even though calculated HQ and EDI values higher than PTDI values are a matter of concern for health, no significant association between breast milk OCP’s and allergic diseases in the first year of life are shown in the present study.

Analyze the expression levels of total IgE, eosinophils, and serum IL-33 in asthmatic and healthy children, and analyze the distribution characteristics of specific IgE in children with asthma.197 children with asthma who attended the clinic between October 2021 and October 2022, as well as 117 healthy children who participated in the clinical examination during the same period were randomly chosen. The distribution of total IgE, eosinophils and serum IL-33 were detected, and ROC curves were drawn to analyze their diagnosis value of childhood asthma. Besides, the characteristics of specific IgE distribution in the 197 children with asthma were also analyzed. The expression level of total IgE, eosinophils and IL-33 were significantly higher in asthmatic children than in healthy children. The analysis of specific IgE indicated that the allergen positive rate of children with asthma was 88.32%, among which 79.42% were multi-allergic. The top three allergens were: mold (48.22%), dermatophagoides pteronyssinus (44.67%), and dermatophagoides farinae and milk (32.99%).Besides, the positive rate for inhalant allergens was 78.17%, and it was 57.36% for food allergens. Results showed that the total IgE, eosinophil percentage, eosinophil and serum IL-33 count were all significantly higher in children with asthma than those in healthy children. Analysis of ROC curves indicated that total IgE, eosinophil count, eosinophil percentage and serum IL-33 were helpful for the diagnosis of asthma. However, no significant differences in total IgE and blood eosinophils were observed between typical asthma and cough allergic asthma. Moreover, the allergy rate and the percentage of multiple allergies were high in children with asthma, and the positive rate of inhalant allergens was higher than that of food allergens. Besides, molds, dermatophagoides pteronyssinuss and dermatophagoides farinae were the most three common allergens in children with asthma, and the positive rate of typical asthma allergens was higher than that of cough variant asthma.This manuscript reflects our findings that Diagnostic value of the total IgE, eosinophils and serum IL-33 in childhood asthma.Besides，we analyze the distribution of allergens in children in Yangzhou, China.We thereby believe that the data contained in our manuscript are of importance and will be of interest to the wide readership of World children asthma.

Intelligent Transportation system (ITS) is a system which integrates various components like decision, control, etc. The automobile industry is continuously evolving with time and huge industrialist are constantly working on the development and deployment of new technologies like self-driving cars, object-detection, etc. Thus, these technologies have increased the ease and efficiency to travel exponentially. Due to introduction of new technologies everyday the security has been a rising concern. The data of each individual is being collected and this data is vulnerable. Thus, this data has to be protected.

The ApxII toxin and outer membrane lipoprotein (Oml) of Actinobacillus pleuropneumoniae (A. pleuropneumoniae) are vital vaccine antigens against porcine contagious pleuropneumonia (PCP), a prevalent infectious disease in the swine industry worldwide. Previous studies have reported the recombinant expression of ApxII and Oml in Escherichia coli (E. coli). However, their yields were not satisfactory. Here, we aimed to enhance the production of ApxII and Oml in E. coli by constructing a bicistronic expression system based on the widely used T7 promoter. To create efficient T7 bicistronic expression cassettes, 16 different fore-cistron sequences were introduced downstream of the T7 promoter. The four most potent expression vectors were screened, and the expression of three vaccine antigens Oml1, Oml7, and ApxII in these four bicistronic vectors were enhanced compared to the monocistronic control. Further optimization of the fermentation conditions in micro-well plates led to improved production of Oml1, Oml7, and ApxII. Finally, the production yields reached unprecedented levels of 2.43 g/L, 2.59 g/L, and 1.21 g/L, respectively, in a 5 L bioreactor. These three antigens also demonstrated well-protective immunity against A. pleuropneumoniae infection. In conclusion, this study established a highly efficient bicistronic T7 expression system and achieved the hyper-production of PCP vaccine proteins. This bicistronic T7 expression system could be a valuable tool for the improved production of other proteins, especially recombinant vaccines, in E. coli.

As climate changes, understanding the genetic basis of local adaptation in plants becomes an ever more pressing issue. Combining Genotype-Environment Association (GEA) with Genotype-Phenotype Association (GPA) analysis has an exciting potential to uncover the genetic basis of environmental responses. We use these approaches to identify genetic variants linked to local adaptation to drought in Pinus ponderosa. Over 4 million SNPs were identified using 223 individuals from across the Sierra Nevada of California. We found 1458 associated with five largely uncorrelated climate variables, with the largest number (1151) associated with April 1st snowpack. We also conducted a greenhouse study with various drought-tolerance traits measured in seedlings grown in control and drought treatments. 817 SNPs were associated with control-condition trait values, while 1154 were associated with responsiveness of these traits to drought. While no individual SNPs were associated with both the environmental variables and the measured traits, several annotated genes were associated with both, particularly those involved in cell wall formation, biotic and abiotic stress responses, and ubiquitination. However, the functions of many of the associated genes have not yet been determined due to the lack of gene annotation information for conifers. Future studies are needed to assess the developmental roles and ecological significance of these unknown genes.

Title: Chondroblastic Osteosarcoma in Adolescent: Crucial Decision of