Multiple Formation Research Articles

The Role of Hydrocarbons in the Genesis of Mississippi-Valley-Type (MVT) Zn–Pb Deposits: Insights from In Situ Sulfur Isotopes of Sphalerite from the Southwestern Margin of the Yangtze Block, SW China

The coexistence of numerous Mississippi-Valley-type (MVT) Zn–Pb deposits and (paleo) oil/gas reservoirs in the world suggests a close genetic relationship between mineralization and hydrocarbon accumulation. Xuequ–Shandouya middle MVT Zn–Pb deposits are mainly hosted in the Lower Cambrian Maidiping Member siliceous dolostone on the southwestern margin of the Yangtze Block, accompanied by large amount of bitumen in the orebodies. Therefore, this type of Zn–Pb deposit is a natural laboratory for studying the relationship between the mineralization and the accumulation of paleo-oil/gas reservoirs. The deposit is characterized by spheroidal and concentric banded sphalerite. In situ sulfur isotope studies are carried out to determine the sulfur sources, sulfate reduction mechanisms, and role of hydrocarbons in the zinc–lead mineralization process. According to the mineral paragenesis and relative temporal relationship, two mineralization stages (1 and 2) are identified. An in situ sulfur isotope analysis of spheroidal and concentric banded sphalerite particles from Stage 2 shows that there are the two following types of sulfur isotopes in the sphalerite: one with relatively invariable δ34S values in the core (+8.31 to +9.30‰), and the other with a gradual increase from the core margin (core) to the rim (+0.39 to +16.18‰). These two types reflect that they may have formed in different times, with first type forming in the early period of Stage 2, while the second type was formed in the late period of Stage 2. The sulfur isotopic data suggest the sulfur source of evaporated sulfate minerals and multiple formation mechanisms for reduced sulfur (H2S). In the early period of Stage 2 mineralization, the sulfate reduction mechanism is mainly a mixture of bacterial sulfate reduction (BSR) and/or thermochemical sulfate reduction (TSR), while a very small amount may come from the thermal decomposition of organic compounds (DOCs). In the late period of Stage 2, TSR is dominant, and the gradual increase in the δ34S value may be related to Rayleigh fractionation. The oil/gasreservoir not only acts as a reducing agent to provide the required hydrogen sulfide for zinc–lead mineralization through TSR or BSR, but also provides reduced sulfur for mineralization through the thermal decomposition of organic compounds directly.

Preparation of decellularized bone graft material with supercritical carbon dioxide extraction technique.

To evaluate the immunogenicity and osteogenic ability of animal-derived bone graft material decellularized with supercritical carbon dioxide. Porcine femurs were randomly divided into two groups after preliminary treatment, and decellularized with conventional method (conventional control group) or supercritical carbon dioxide (experimental group). Clearance rate of galactose-α-1, 3-galactose (α-Gal) and residual DNA of the two groups were analyzed to assess the immunogenicity of the xenogenic materials. Clearance rate of α-Gal was determined by enzyme-linked immunosorbent assay and residual DNA was detected by fluorescence method. Nine SPF-grade male athymic nude mice of 6 weeks old were randomly divided into experimental group, conventional control group and positive control group. Samples were implanted over biceps femoris muscle of athymic nude mice, the explants were collected 4 weeks post implantation, hematoxylin and eosin (HE) staining and immunohistochemistry were applied to determine the osteogenic ability and bone tissue-associated protein expressions of the implants. The clearance rates of α-Gal antigen in the experimental group and the conventional control group were (99.09±0.26)% and (30.18±2.02)%, respectively (t=58.67, P<0.01). The residual DNA of the experimental group, the conventional control group and the positive control group were (13.49±0.07) ng/mg, (15.20±0.21) ng/mg and (14.70±0.17) ng/mg, the residual DNA in the experimental group was significantly lower than that in the conventional control group (t=－13.41, P<0.01) and the positive control group (t=－11.30, P<0.01). HE staining showed that multiple bone formation centers with active osteogenesis and rich bone marrow were observed in experimental group 4 weeks after implantation, only a small number of bone formation centers were observed in the conventional control group and the positive control group, with no obvious osteoblasts present. Immunohistochemistry results indicated that the expressions of alkaline phosphatase, Runt-related transcription factor 2, typeⅠcollagen and osteocalcin in the experimental group showed an increasing trend compared with those in the conventional control group and the positive control group. Compared with clinically used demineralized bone matrix and bone graft material decellularized with conventional method, bone graft material decellularized with supercritical carbon dioxide exhibits lower immunogenicity and better osteogenic ability.

Multiple Unmanned Aerial Vehicles Coalition Formation and Control for Collaborative Defense Mission

Multiple Unmanned Aerial Vehicles Coalition Formation and Control for Collaborative Defense Mission

Progressive CKD Is Associated with Multiple Kidney Cyst Formation in Adult and Elderly Patients with Genetic Variations of Kidney Disease

Progressive CKD Is Associated with Multiple Kidney Cyst Formation in Adult and Elderly Patients with Genetic Variations of Kidney Disease

The Flowback Proppant Scaling Mechanism in the Horizontal Shale Oil Wells of Qingcheng Oilfield

Abstract Proppant scaling in the horizontal shale oil wells is a common problem in the Qingcheng Oilfield, one of the largest shale oil producers in China. However, few studies have focused on the mechanism of the proppant scaling during the flowback stage of hydraulic fracturing. To elucidate the scaling mechanism, in this study we collected the samples of produced water and solid scales and analyzed their compositions. The experimental simulations of the static and dynamic scaling processes using fracturing fluids, formation water, and reservoir rocks were also performed. In these experiments, the scale was found to be mainly SiO2 combined with FeCO3 and/or CaCO3. FeCO3 was dominant at the initial stage of the flowback, and CaCO3 became dominant at later stages of the flowback and during the stable production stage. It is believed that the high percentage of ferrous minerals (e.g., 46.4% of ferrocalcite) in multiple formation rocks is an essential reason that the proppant scaling happened during the flowback stage. The Fe2+ and Ca2+ ions were believed to be released via reservoir rock reacting with the fracturing fluid under the reservoir temperature and pressure (e.g. 60 °C, 20MPa). In addition, the FeCO3 formed in the initial flowback stage of the fracturing has the greatest impact on production.

Exploring advancements and emerging trends in robotic swarm coordination and control of swarm flying robots: A review

Swarm Robotics (SR) is an interdisciplinary field that is rapidly advancing to address complex industrial challenges. This paper provides a comprehensive review of recent advancements and emerging trends in SR, with a specific focus on the coordination and control of Swarm Flying Robots (SFRs). The motivation behind this review is to explore scalable and robust solutions for SFRs to enhance their performance and adaptability across various applications. Key objectives include examining the characteristics and essential behaviors of SR, analyzing the challenges and so lutions for implementing SR in Flying Robots (FRs), and highlighting current and future research directions. The review delves into critical areas such as multiple robot path planning, Swarm Intelligence (SI), combinatorial optimization, and formation flying using SFR. Special attention is given to coordination and control techniques, including formation control in GPS-denied environments, to underscore their significance in advancing SR. The paper also addresses ethical, privacy, and security considerations, emphasizing the importance of responsible practices in SR development. Major takeaways from this review include the identification of key technical challenges and potential solutions in SFR, the exploration of SI algorithms, and the future research directions necessary for fully realizing the potential of SR technologies. By offering detailed insights into state-of-the-art research and its industrial implications, this paper serves as a foundational guide for future studies in the dynamic and promising domain of swarm robotics.

Power and efficiency enhancement of solar photovoltaic power plants through grouped string voltage balancing approach

Solar photovoltaic (PV) power plants’ performance is severely impacted by multi-level irradiances or partial shading, leading to power losses and voltage instability. Also, partial shading adds further complexity to the maximum power point tracking algorithms by introducing numerous peaks in the power curves, resulting in additional losses. Numerous solutions are presented to deal with shading losses, and dynamic reconfiguration is the most effective; however, higher switch count and complex architecture make it impractical in real-world implementation. Hence, this study proposes a low-complexity architecture based on the grouped string voltage balancing approach. This approach utilizes a voltage balancing converter connected to groups of strings to enhance the power output of the array of PV plants, maintain overall system voltage stability, and eliminate the possibility of multiple peaks formation in the power curves. The effectiveness of the proposed approach is tested under numerous static and dynamic partial shadings and analyzed using power curves, power output, losses, efficiencies, and voltage stability. The validation is done by comparing the proposed approach with conventional and advanced architectures for a 32.5 kW system. The results show that the proposed method requires a 50 % reduced switch count than existing techniques, achieves 99.54 % efficiency, and maintains an average voltage stability of 0.01.

Walk this way: modeling foraging ant dynamics in multiple food source environments

Foraging for resources is an essential process for the daily life of an ant colony. What makes this process so fascinating is the self-organization of ants into trails using chemical pheromone in the absence of direct communication. Here we present a stochastic lattice model that captures essential features of foraging ant dynamics inspired by recent agent-based models while forgoing more detailed interactions that may not be essential to trail formation. Nevertheless, our model’s results coincide with those presented in more sophisticated theoretical models and experiments. Furthermore, it captures the phenomenon of multiple trail formation in environments with multiple food sources. This latter phenomenon is not described well by other more detailed models. We complement the stochastic lattice model by describing a macroscopic PDE which captures the basic structure of lattice model. The PDE provides a continuum framework for the first-principle interactions described in the stochastic lattice model and is amenable to analysis. Linear stability analysis of this PDE facilitates a computational study of the impact various parameters impart on trail formation. We also highlight universal features of the modeling framework that may allow this simple formation to be used to study complex systems beyond ants.

Plasmodium NEK1 coordinates MTOC organisation and kinetochore attachment during rapid mitosis in male gamete formation.

Mitosis is an important process in the cell cycle required for cells to divide. Never in mitosis (NIMA)-like kinases (NEKs) are regulators of mitotic functions in diverse organisms. Plasmodium spp., the causative agent of malaria is a divergent unicellular haploid eukaryote with some unusual features in terms of its mitotic and nuclear division cycle that presumably facilitate proliferation in varied environments. For example, during the sexual stage of male gametogenesis that occurs within the mosquito host, an atypical rapid closed endomitosis is observed. Three rounds of genome replication from 1N to 8N and successive cycles of multiple spindle formation and chromosome segregation occur within 8 min followed by karyokinesis to generate haploid gametes. Our previous Plasmodium berghei kinome screen identified 4 Nek genes, of which 2, NEK2 and NEK4, are required for meiosis. NEK1 is likely to be essential for mitosis in asexual blood stage schizogony in the vertebrate host, but its function during male gametogenesis is unknown. Here, we study NEK1 location and function, using live cell imaging, ultrastructure expansion microscopy (U-ExM), and electron microscopy, together with conditional gene knockdown and proteomic approaches. We report spatiotemporal NEK1 location in real-time, coordinated with microtubule organising centre (MTOC) dynamics during the unusual mitoses at various stages of the Plasmodium spp. life cycle. Knockdown studies reveal NEK1 to be an essential component of the MTOC in male cell differentiation, associated with rapid mitosis, spindle formation, and kinetochore attachment. These data suggest that P. berghei NEK1 kinase is an important component of MTOC organisation and essential regulator of chromosome segregation during male gamete formation.

Galactic Chemical Evolution Models Favor an Extended Type Ia Supernova Delay-time Distribution

Type Ia supernovae (SNe Ia) produce most of the Fe-peak elements in the Universe and therefore are a crucial ingredient in galactic chemical evolution models. SNe Ia do not explode immediately after star formation, and the delay-time distribution (DTD) has not been definitively determined by supernova surveys or theoretical models. Because the DTD also affects the relationship among age, [Fe/H], and [α/Fe] in chemical evolution models, comparison with observations of stars in the Milky Way is an important consistency check for any proposed DTD. We implement several popular forms of the DTD in combination with multiple star formation histories for the Milky Way in multizone chemical evolution models that include radial stellar migration. We compare our predicted interstellar medium abundance tracks, stellar abundance distributions, and stellar age distributions to the final data release of the Apache Point Observatory Galactic Evolution Experiment. We find that the DTD has the largest effect on the [α/Fe] distribution: a DTD with more prompt SNe Ia produces a stellar abundance distribution that is skewed toward a lower [α/Fe] ratio. While the DTD alone cannot explain the observed bimodality in the [α/Fe] distribution, in combination with an appropriate star formation history it affects the goodness of fit between the predicted and observed high-α sequence. Our model results favor an extended DTD with fewer prompt SNe Ia than the fiducial t −1 power law.

Early selective enteral feeding in combination with active decompression of duodenum in treatment of moderate and severe acute pancreatitis – A proof-of-concept clinical study

BackgroundAcute pancreatitis (AP) is a significant clinical challenge with rising global incidence and substantial mortality rates, necessitating effective treatment strategies. Current guidelines recommend pain and fluid management and early enteral feeding to mitigate complications, yet optimal feeding route remains debated. MethodsWe conducted a prospective, randomized, controlled trial at nine centers from October 2020 to May 2023, enrolling 154 patients with moderate to severe AP. Patients were stratified into biliary and non-biliary categories and randomized 1:1 to receive either standard of care (SoC) or SoC plus PandiCath®, a novel catheter enabling selective enteral feeding and duodenal decompression. The primary clinical endpoint (PCE) was a composite of de novo multiple organ dysfunction syndrome (MODS), infectious complications, pancreatic and intestinal fistula formation, bleeding, abdominal compartment syndrome, obstructive jaundice, and AP-related mortality. ResultsIn the primary modified intention-to-treat analysis, PandiCath® significantly reduced the PCE compared to SoC alone (P = 0.032). The Relative Risk (RR = 0.469, 95 % CI 0.228–0.964) and Number Needed to Treat (NNT = 6.384, 95 % CI 3.349–68.167) indicated its substantial clinical benefit, primarily driven by reduced rates of de novo MODS and infectious complications. These findings were further supported by the evaluation of other populations, including the standard intention-to-treat analysis. ConclusionPandiCath®, facilitating targeted enteral feeding while isolating and decompressing the duodenum, demonstrates promise in improving outcomes for AP patients at risk of severe complications. Further studies are warranted to validate these findings and explore optimal timing and patient selection for this intervention.

Compliance with a Healthful Plant-Based Diet Is Associated with Kidney Function in Patients with Autosomal Dominant Polycystic Kidney Disease.

Autosomal dominant polycystic kidney disease (ADPKD) is a genetic kidney disorder with multiple cyst formation that progresses to chronic kidney disease (CKD) and end-stage kidney disease. Plant-based diets have attracted considerable attention because they may prevent CKD development. This study investigated whether adherence to a plant-based diet is associated with kidney function in patients with ADPKD. The overall plant-based diet index (PDI), healthful PDI (hPDI), and unhealthful PDI (uPDI) were calculated using dietary intake data. Among 106 ADPKD patients, 37 (34.91%) were classified as having advanced CKD (eGFR < 60 mL/min/1.73 m2). The overall PDI and hPDI were lower, but the uPDI was higher in patients with advanced CKD than in those with early CKD. The hPDI was negatively correlated with the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio. Moreover, the hPDI was inversely associated with advanced CKD [odds ratio (OR): 0.117 (95% confidence interval (CI): 0.039-0.351), p < 0.001], and the uPDI was positively associated with advanced CKD [OR: 8.450 (95% CI: 2.810-25.409), p < 0.001]. The findings of the current study demonstrate that greater adherence to a healthful plant-based diet is associated with improved kidney function in ADPKD patients.

Machine learning assisted identification of antibiotic-resistant Staphylococcus aureus strains using a paper-based ratiometric sensor array

Staphylococcus aureus, a versatile human pathogen, significantly impacts global health causing a broad spectrum of medical conditions that range from minor skin infections to life-threatening diseases. The clinical importance of S. aureus is underscored by its resistance to multiple antibiotics and formation of biofilms, providing protection against antimicrobials and immune responses. To date, the identification of antimicrobial-resistant (AMR) S. aureus strains, such as methicillin-resistant S. aureus (MRSA) and vancomycin-intermediate S. aureus (VISA), requires time-consuming and expensive methodologies, including culture-based, molecular, and phenotypic techniques. Previously, we developed a paper-based ratiometric sensor array composed of fluorescent sensor dyes (3-hydroxyflavone derivatives) pre-adsorbed on paper microzone plates. Combined with machine learning algorithms such as neural networks, this sensor effectively discriminated 16 bacterial species and determined their Gram status. In this study, we evaluate its ability to distinguish antibiotic-resistant S. aureus strains and their biofilms. Our results demonstrate that the sensor array, in conjunction with LDA and neural networks, successfully differentiated three common laboratory MRSA strains from three methicillin-susceptible S. aureus (MSSA) strains with 82.5% accuracy. Furthermore, using support vector machines, this sensor was able to distinguish and categorically classify MRSA, MSSA, and VISA clinical isolates with 97.5% accuracy. Remarkably, beyond distinguishing planktonic cultures, this sensor array demonstrated a formidable capability to discriminate AMR S. aureus biofilms, achieving over 80% accuracy. Combined, the results of this study highlight the paper-based sensor array’s significant potential as a robust diagnostic tool to accurately, rapidly, and easily identify drug-resistant S. aureus strains in clinically relevant settings.

Towards Rational Design of Battery Formation Protocols: From Electrochemical Modeling to Factory Deployment

In battery manufacturing, the formation process is both paramount and problematic. It is paramount since all batteries undergo formation charging and aging steps to build a resilient solid electrolyte interphase (SEI) and to screen for defects. It is problematic because the formation process is expensive to operate, remains a major source of factory energy demand, requires larger factory footprints, and takes an order of magnitude longer than nearly every other manufacturing step. Despite the centrality of the formation process in battery manufacturing, steps taken to optimizing formation protocols remain ad-hoc in the absence of design principles and physical models.We highlight recent progress in developing a principled understanding of the SEI formation process applied towards industrial battery formation process (i.e. in the context of a full cell). We review a reduced-order electrochemical model of the formation process that captures first cycle charge dynamics and subsequent cycling and aging degradation behavior [1]. The model predicts measurable quantities such as first cycle efficiency (FCE) and irreversible thickness growth under multiple formation protocols. We discuss opportunities to integrate the electrochemical formation model with differential voltage analysis (DVA) to visualize the connection between first cycle charge dynamics from the perspective of shifting electrode stoichiometries [2] and comment on applications towards physics-informed battery lifetime prediction [3]. We finally share recent data elucidating the effect of formation temperature, pressure, and protocol on cycle life.

Analysis of the Substituent Distribution in Carboxymethyl-1,4-glucans on Different Structural Levels—An Ongoing Challenge

Carboxymethylglucans (CMGs) are widely used semisynthetic polyelectrolytes, e.g., for pharmaceuticals. They are produced in heterogeneous processes on activated starch granules or cellulose fibers. In contrast to neutral ether derivatives, a lower DS in the range, commonly between 0.6 and 1.2, is sufficient to achieve the water solubility of CM cellulose. The high proportion of unsubstituted domains, which could aggregate and therefore only swell and form gel particles but do not dissolve, places higher demands on the statistical distribution of the substituents. The knowledge of regioselectivity, essential for the interpretation of higher structural-level data, can be obtained by various methods, preferentially by CE/UV after hydrolysis. To study the distribution of substituents at the polymer level by mass spectrometric (MS) analysis, partial random depolymerization is required. Due to the ionic character and acid functionality, all the attempts of the direct depolymerization of CMG and further sample preparation suffered from bias, side reactions, and multiple ion formation in MS. Finally, the transformation of CMGs to the corresponding hydroxyethylglucans (HEGs) by the reduction of the esterified carboxy groups with LiAlH4 opened the window for quantitative oligomer MS analysis. While the CM amyloses were reduced quantitatively, the transformation of the CMC was only about 60% but without the formation of mixed CM/HE ethers.

Arginyltransferase 1 (ATE1)-mediated proteasomal degradation of viral haemagglutinin protein: a unique host defence mechanism.

The extensive protein production in virus-infected cells can disrupt protein homeostasis and activate various proteolytic pathways. These pathways utilize post-translational modifications (PTMs) to drive the ubiquitin-mediated proteasomal degradation of surplus proteins. Protein arginylation is the least explored PTM facilitated by arginyltransferase 1 (ATE1) enzyme. Several studies have provided evidence supporting its importance in multiple physiological processes, including ageing, stress, nerve regeneration, actin formation and embryo development. However, its function in viral pathogenesis is still unexplored. The present work utilizes Newcastle disease virus (NDV) as a model to establish the role of the ATE1 enzyme and its activity in pathogenesis. Our data indicate a rise in levels of N-arginylated cellular proteins in the infected cells. Here, we also explore the haemagglutinin-neuraminidase (HN) protein of NDV as a presumable target for arginylation. The data indicate that the administration of Arg amplifies the arginylation process, resulting in reduced stability of the HN protein. ATE1 enzyme activity inhibition and gene expression knockdown studies were also conducted to analyse modulation in HN protein levels, which further substantiated the findings. Moreover, we also observed Arg addition and probable ubiquitin modification to the HN protein, indicating engagement of the proteasomal degradation machinery. Lastly, we concluded that the enhanced levels of the ATE1 enzyme could transfer the Arg residue to the N-terminus of the HN protein, ultimately driving its proteasomal degradation.

Solution structures and effects of a platinum compound successively bound MYC G-quadruplex.

G-quadruplex (G4) structures play integral roles in modulating biological functions and can be regulated by small molecules. The MYC gene is critical during tumor initiation and malignant progression, in which G4 acts as an important modulation motif. Herein, we reported the MYC promoter G4 recognized by a platinum(II) compound Pt-phen. Two Pt-phen-MYC G4 complex structures in 5 mM K+were determined by NMR. The Pt-phen first strongly binds the 3'-end of MYC G4 to form a 1:1 3'-end binding complex and then binds 5'-end to form a 2:1 complex with more Pt-phen. In the complexes, the Pt-phen molecules are well-defined and stack over four bases at the G-tetrad for a highly extensive π-π interaction, with the Pt atom aligning with the center of the G-tetrad. The flanking residues were observed to rearrange and cover on top of Pt-phen to stabilize the whole complex. We further demonstrated that Pt-phen targets G4 DNA in living cells and represses MYC gene expression in cancer cells. Our work elucidated the structural basis of ligand binding to MYC promoter G4. The platinum compound bound G4 includes multiple complexes formation, providing insights into the design of metal ligands targeting oncogene G4 DNA.

Self-learning for translational control of elliptical orbit spacecraft formations

PurposeThis paper aims to investigate the relative translational control for multiple spacecraft formation flying. This paper proposes an engineering-friendly, structurally simple, fast and model-free control algorithm.Design/methodology/approachThis paper proposes a tanh-type self-learning control (SLC) approach with variable learning intensity (VLI) to guarantee global convergence of the tracking error. This control algorithm utilizes the controller's previous control information in addition to the current system state information and avoids complicating the control structure.FindingsThe proposed approach is model-free and can obtain the control law without accurate modeling of the spacecraft formation dynamics. The tanh function can tune the magnitude of the learning intensity to reduce the control saturation behavior when the tracking error is large.Practical implicationsThis algorithm is model-free, robust to perturbations such as disturbances and system uncertainties, and has a simple structure that is very conducive to engineering applications.Originality/valueThis paper verified the control performance of the proposed algorithm for spacecraft formation in the presence of disturbances by simulation and achieved high steady-state accuracy and response speed over comparisons.

Multiple UAVs Networking Oriented Consistent Cooperation Method Based on Adaptive Arithmetic Sine Cosine Optimization

With the rapid development of the Internet of Things, the Internet of Vehicles (IoV) has quickly drawn considerable attention from the public. The cooperative unmanned aerial vehicles (UAVs)-assisted vehicular networks, as a part of IoV, has become an emerging research spot. Due to the significant limitations of the application and service of a single UAV-assisted vehicular networks, efforts have been put into studying the use of multiple UAVs to assist effective vehicular networks. However, simply increasing the number of UAVs can lead to difficulties in information exchange and collisions caused by external interference, thereby affecting the security of the entire cooperation and networking. To address the above problems, multiple UAV cooperative formation is increasingly receiving attention. UAV cooperative formation can not only save energy loss but also achieve synchronous cooperative motion through information communication between UAVs, prevent collisions and other problems between UAVs, and improve task execution efficiency. A multi-UAVs cooperation method based on arithmetic optimization is proposed in this work. Firstly, a complete mechanical model of unmanned maneuvering was obtained by combining acceleration limitations. Secondly, based on the arithmetic sine and cosine optimization algorithm, the mathematical optimizer was used to accelerate the function transfer. Sine and cosine strategies were introduced to achieve a global search and enhance local optimization capabilities. Finally, in obtaining the precise position and direction of multi-UAVs to assist networking, the cooperation method was formed by designing the reference controller through the consistency algorithm. Experimental studies were carried out for the multi-UAVs’ cooperation with the particle model, combined with the quadratic programming problem-solving technique. The results show that the proposed quadrotor dynamic model provides basic data for cooperation position adjusting, and our simplification in the model can reduce the amount of calculations for the feedback and the parameter changes during the cooperation. Moreover, combined with a reference controller, the UAVs achieve the predetermined cooperation by offering improved navigation speed, task execution efficiency, and cooperation accuracy. Our proposed multi-UAVs cooperation method can improve the quality of service significantly on the UAV-assisted vehicular networks.

Temporal and Dosage Impact of Magnesium Oxide Nanoparticles on Grass Carp: Unveiling Oxidative Stress, DNA Damage and Antioxidant Suppression

Magnesium oxide nanoparticles (MgO NPs) have gained significant importance in biomedicine and variety of nanotechnology-based materials used in the agriculture and biomedical industries. However, the release of different nanowastes in the water ecosystem becomes a serious concern. Therefore, this study was executed to evaluate the toxic impacts of MgO NPs on grass carp. A total of 60 grass carp were randomly divided in three groups (G0, G1, and G2). Fish reared in group G0 were kept as control while fish of groups G1 and G2 were exposed to 0.5mg/L and 0.7mg/L MgO NPs respectively, mixed in water for 21 days. The 96h median lethal concentration (LC50) of MgO NPs was found to be 4.5mg/L. Evaluation of oxidative stress biomarkers, antioxidant enzymes, DNA damage in different visceral organs and the presence of micronuclei in erythrocytes were determined on days-7, 14, and 21 of the trial. Results revealed a dose and time-dependent significantly increased values of reactive oxygen species, lipid peroxidation product, DNA damage in multiple visceral organs and formation of micronuclei in the erythrocytes of treated fish (0.7mg/L). The results on antioxidant profile exhibited significantly lower amounts of total proteins, catalase, superoxide dismutase and peroxidase in visceral organs of the fish exposed to MgO NPs (0.5 and 0.7mg/L) at day 21 of trial compared to control group. In conclusion, it has been recorded that MgO NPs severely influence the normal physiological functions of the grass carp even at low doses.