Agent Competition Research Articles

Molecular Additives as Competitive Binding Agents to Control Supramolecular-Driven Nanoparticle Assembly

Molecular Additives as Competitive Binding Agents to Control Supramolecular-Driven Nanoparticle Assembly

Principal-Multiagents problem under equivalent changes of measure: General study and an existence result

We study a general contracting problem between the principal and a finite set of competitive agents, who perform equivalent changes of measure by controlling the drift of the output process and the compensator of its associated jump measure. In this setting, we generalize the dynamic programming approach developed by Cvitanić et al. (2018) and we also relax their assumptions. We prove that the problem of the principal can be reformulated as a standard stochastic control problem in which she controls the continuation utility (or certainty equivalent) processes of the agents. Our assumptions and conditions on the admissible contracts are minimal to make our approach work. We review part of the literature and give examples on how they are usually satisfied. We also present a smoothness result for the value function of a risk–neutral principal when the agents have exponential utility functions. This leads, under some additional assumptions, to the existence of an optimal contract.

Pedestrian evacuations with imitation of cooperative behavior.

We analyze the dynamics of room evacuation for mixed populations that include both competitive and cooperative individuals through numerical simulations using the social force model. Cooperative agents represent well-trained individuals who know how to behave in order to reduce risks within high-density crowds. We consider that competitive agents can imitate cooperative behavior when they are in close proximity to cooperators. We study the effects of the imitation of cooperative behavior on the duration and safety of evacuations, analyzing evacuation time and other quantities of interest for varying parameters such as the proportions of mixing, the aspect ratio of the room, and the parameters characterizing individual behaviors. Our main findings reveal that the addition of a relatively small number of cooperative agents into a crowd can reduce evacuation time and the density near the exit door, making the evacuation faster and safer despite an increase in the total number of agents. In particular, for long spaces such as corridors, a small number of added cooperative agents can significantly facilitate the evacuation process. We compare our results with those of systems without imitation and also study the general role of cooperation, providing further analysis for homogeneous populations. Our main conclusions emphasize the potential relevance of training people how to behave in high-density crowds.

Privacy-preserving bipartite output consensus for continuous-time heterogeneous multi-agent systems via event-triggered impulsive control

This paper studies the problem of differentially private bipartite output consensus in continuous-time heterogeneous multi-agent systems (MASs) characterized by antagonistic interactions. A novel hybrid privacy-preserving event-triggered impulsive consensus protocol is introduced to protect the agent’s initial information from disclosure, which involves a discrete-time information transmission based on an event-triggering mechanism. Using stochastic Lyapunov method, sufficient conditions have been obtained to achieve mean square bipartite output consensus with a guaranteed level of privacy. Furthermore, the differential privacy of competitive agent pairs is exclusively secured by the proposed control scheme by injecting Laplace noise. The protocol also effectively prevents Zeno behavior by imposing a lower bound for impulsive intervals under all event-triggered conditions. A simulation example is provided to validate the effectiveness of the theoretical result.

Morindone as a potential therapeutic compound targeting TP53 and KRAS mutations in colorectal cancer cells

There is an increasing demand for anticancer agent in treating colorectal cancer (CRC) with frequently mutated TP53 and KRAS genes. Phytochemical compounds are suitable as chemoprevention for CRC since dietary factor is a major risk factor. Anthraquinones from Morinda citrifolia L. were previously reported with various pharmacological properties. Various in vitro experiments were conducted to investigate the effects of two anthraquinones: damnacanthal and morindone on the cell proliferation, cell cycle, apoptosis, gene expression and protein expression in two CRC cells: HCT116 and HT29. Real-time monitoring of CRC cells showed that both anthraquinones exerted significant anti-proliferative effects in a dose- and time-dependent manner. Next, cell cycle analysis revealed an increase in the percentage of CRC cells in the G1 phase under anthraquinones treatment. Fluorescence microscopy also showed an increment of apoptotic cells under anthraquinones’ treatment. siRNA transfection was conducted to evaluate the mediating effect of gene knockdown on mutated TP53 and KRAS in CRC cells. Before transfection, qRT-PCR analysis showed that only morindone downregulated the gene expression of mutated TP53 and KRAS and then further downregulated them after transfection. Both damnacanthal and morindone treatments further downregulated the expression of these two genes but upregulated at the protein expression level. Furthermore, gene knockdown also sensitised CRC cells to both damnacanthal and morindone treatments, resulting in lowered IC50 values. The accumulation of cells at the G1 phase was reduced after gene knockdown but increased after damnacanthal and morindone treatments. In addition, gene knockdown has increased the number of apoptotic cells in both cell lines and further increment was observed after anthraquinone treatment. In conclusion, morindone could be a competitive therapeutic agent in CRC by exhibiting multiple mechanism of anti-cancer actions.

Faster is Slower effect for evacuation processes: A granular standpoint

The so-called Faster is Slower (FIS) effect is observed in some particular real-life or experimental situations. In the context of an evacuation process, it expresses that increasing the speed (or, more generally, the competitiveness) of individuals may induce a reduction of the flow through the exit door. We propose here a parameter-free model to reproduce and investigate this effect (more precisely its backward “Slower is Faster” equivalent). In spite of its non-smooth character, which makes it difficult to analyze, this granular approach is based on very basic ingredients in terms of behavior. In its native, purely asocial version, individuals are represented by hard-discs, each of which has a desired velocity, and the actual velocity is built as the projection of this field on the set of admissible velocities (which respect the non-overlapping constraints). We implement the slower effect by introducing here an extra step to account for the fact that individuals refrain from pushing, and therefore tend to reduce their desired velocity accounting for the velocities of people upfront. The present paper has two objectives: establish the relevance of this model by showing that it satisfactorily reproduces various empirical effects in highly crowded evacuations with various levels of competitiveness, and explore how it can be implemented to recover and explain the FIS effect. In this spirit, we confront this Inhibition-Based (IB) model to experimental data, focusing on the Faster is Slower effect. We show in particular that this approach makes it possible to accurately recover the effect of competitiveness upon power-law distributions of time lapses which have been experimentally observed. We also study the effect of mixed behaviors, by introducing a two-population model using both approaches. We investigate in particular the effect upon evacuation efficiency of the ratio between competitive agents and non-competitive ones. In a similar context, we investigate the role of an obstacle placed upstream the exit upon evacuation efficiency.

The effect of probe density coverage on the detection of oenological tannins in Quartz Crystal Microbalance with Dissipation monitoring (QCM-D) experiments.

Polyphenols are a group of compounds found in grapes, musts, and wines. Their levels are crucial for grape ripening, proper must fermentation, and final wine characteristics. Standard chemical analysis is commonly used to detect these compounds, but it is costly, time-consuming, and requires specialized laboratories and operators. To address this, this study explores a functionalized acoustic sensor for detecting oenological polyphenols. The method involves utilizing a Quartz Crystal Microbalance with Dissipation monitoring (QCM-D) to detect the target analyte by using a gelatin-based probe layer. The sensor is functionalized by optimizing the probe coverage density to maximize its performance. This is achieved by using 12-mercaptododecanoic acid (12-MCA) to immobilize the probe onto the gold sensor surface, and dithiothreitol (DTT) as a reducing and competitive binding agent. The concentration of 12-MCA and DTT in the solutions is varied to control the probe density. QCM-D measurements demonstrates that the probe density can be effectively adjusted using this approach, ranging from 0.2×1013 molecules cm-2 to 2×1013 molecules cm-2 . This study also investigates the interaction between the probe and tannins, confirming the sensor ability to detect them. Interestingly, the lower probe coverage achieves higher detection signals when normalized to probe immobilization signals. Moreover, significant changes in mechanical properties of the functionalization layer are observed after the interaction with samples. The combination of QCM-D with gelatin functionalization holds great promise for future applications in the wine industry. It offers real-time monitoring capabilities, requires minimal sample preparation, and provides high sensitivity for quality control purposes. This article is protected by copyright. All rights reserved.

Optimal investment in a large population of competitive and heterogeneous agents

Optimal investment in a large population of competitive and heterogeneous agents

Advancements in sustainable platinum and palladium recovery: unveiling superior adsorption efficiency and selectivity with a novel silica-anchored acylthiourea adsorbent.

This study addresses the pressing issue of depleting natural resources of platinum group metals (PGMs), driven by their widespread use in modern applications and increasing demand for renewable energy technologies. With conventional sources dwindling, the search for economically viable recovery methods from alternative sources has become crucial. Our focus was on innovating efficient recovery strategies, leading to the development of two novel silica-anchored adsorbents: DTMSP-BT-SG, a highly efficient acylthiourea adsorbent, and BTMSPA-SG, a silica-anchored amine adsorbent. We conducted comprehensive experiments under PGM mining wastewater conditions, varying parameters such as adsorbent mass, pH, concentration, contact time, competing ions, and volume. DTMSP-BT-SG demonstrated exceptional performance, achieving maximum adsorption efficiencies of >98% for Pt and >99% for Pd at pH 2, 0.5 g L-1 dosage, and 5 mg L-1 concentration. In contrast, under the same conditions, BTMSPA-SG recovered <56% and <89% of Pt and Pd, respectively. The experimental data for both adsorbents were analysed using Langmuir and Freundlich isotherm models for concentration and pseudo-first and second-order models for contact time. The Langmuir model best described the adsorption data, indicating homogenous monolayer adsorption of Pt and Pd. The kinetic models suggested a pseudo-second-order process, implying chemisorption. Furthermore, in the presence of competing ions and other PGMs, DTMSP-BT-SG exhibited significantly higher recovery rates for Pt and Pd compared to BTMSPA-SG. Overall, DTMSP-BT-SG emerged as a more selective and efficient adsorbent across varied parameters. Its exceptional adsorption efficiency, coupled with cost-effectiveness, positions it as a promising and competitive recovery agent for extracting PGMs from mining wastewaters.

Diversity-Oriented Testing for Competitive Game Agent via Constraint-Guided Adversarial Agent Training

Diversity-Oriented Testing for Competitive Game Agent via Constraint-Guided Adversarial Agent Training

MSMEs as Catalysts for Growth: Analyzing their Contribution to Food Tour Development and Local Economic Sustainability

This study used a descriptive correlational approach to determine MSMEs' competitiveness and contributions to food tour development in Iloilo City. The study's respondents were entrepreneurs who managed and/or owned micro, small, and medium-sized businesses in Iloilo City, engaged in the food industry, and were either part of or considered part of the tourist circuit. A modified survey instrument addressed the study's concerns and was the primary data source. A validity score of 4.64 and a reliability Cronbach alpha of 0.980 indicates that the instrument is valid and very reliable. Descriptive and inferential statistical tools were used for statistical treatment. Key findings indicate that food-related MSMEs in Iloilo City are moderately competitive in their capacity to compete, connect, and change. A modest contribution to the growth of food tours through job creation and product offering but a low contribution to total monthly sales. A positive direct relationship was found between business competitiveness and contribution to food tour development. Entrepreneurial age and educational level have been shown to influence how much enterprises contribute to food tour development. The findings of this study may be applied to the growth and management of MSMEs in Iloilo City, making them more competitive agents of food tour development. Any organization that wants to be competitive should strategically form good partnerships to get amazing outcomes. Using positioning and uniqueness to catch visitors' attention, food-related MSMEs may leverage tourists who value food in their travel reasons. Appreciating local food resources and paying close attention to how they are presented and promoted to the public would likely attract tourists and increase tourism earnings.

Erratum to “Competitive Two-Agent Scheduling and Its Applications”

Erratum to “Competitive Two-Agent Scheduling and Its Applications” The paper “Competitive Two-Agent Scheduling and Its Applications” by Leung, Pinedo, and Wan appeared in Operations Research in 2010. Because competitive agent scheduling has become an active area of research, the paper has garnered its share of citations over the years. This particular direction of scheduling research has become so popular that the book Multiagent Scheduling: Models and Algorithms by Agnetis, Billaut, Gawiejnowicz, Pacciarelli, and Soukhal appeared in 2014. However, one of the results in the Leung et al. paper had a minor error in it. The paper considers a two-agent scheduling problem with a single machine, with each one of the two agents having their own set of jobs. The first agent has as the objective the minimization of the total tardiness of her set of jobs, and the second agent has to ensure that the total completion time of her set of jobs is less than or equal to Q. Leung et al. showed, through a dynamic programming formulation, that this problem can be solved in pseudopolynomial time and determined the time complexity of their algorithm. Their proof contains a minor error. The proper algorithm is still pseudopolynomial but of a slightly higher time complexity.

High Capacity Adsorption and Degradation of a Nerve Agent Simulant and a Pesticide by a Nickel Pyrazolate Metal-Organic Framework.

The development of materials that enable the efficient removal of toxic compounds is important for the improvement of current protective materials or decontamination technologies. Current materials rely either on agent removal by adsorption or by effecting (catalytic) degradation. Ideally, both of these mechanisms are combined in a single material in order to target a more broad spectrum of toxic agents and to improve the performance of the materials. Recent attempts to combine materials with either adsorptive or catalytic properties into a composite material are promising, although the overall performance often suffers from competition for the agent between the adsorptive and catalytic domains in the composites. In this work, we propose that metal-organic frameworks (MOFs) could feature both adsorptive properties as well as catalytic properties in a single structural domain, thereby avoiding a reduction in the overall performance originating from competitive agent interactions. We showcase this concept using the MOF Ni3(BTP)2, which exhibits strong affinity and high capacity for the storage of a nerve agent simulant and a pesticide. Moreover, it is demonstrated that the adsorbed agents are efficiently degraded and that the nontoxic degradation products are rapidly expelled from the MOF pores. Its ability to catalyze the hydrolytic degradation of both organophosphate and organophosphorothioate compounds highlights another unique feature of this material. The presented concept illustrates the feasibility for developing materials that target a broader spectrum of agents via adsorption, catalysis, or both and by their broader reactivity toward different types of agents.

An Effective Melon Fly Control Strategy Based on Disinfection and Soil Productivity Management

The research employs both the literature and experimental data in order to develop reasonable strategies for melon fly control. The objects of research were sierozem soils of the Zhanakorgan region (Kyzylorda region), bentonite clays of the Sauran region (Turkestan region), and vermicompost obtained at the production site of the Research Institute “Ecology” at the International Kazakh-Turkish University, named after Khoja Ahmed Yasawi. The competitive agent ‘Vermiserbent’ was developed by combining sulphur-perlite-containing waste (SPCW), vermicompost, and natural bentonite clay. When incorporated into the soil, it serves as both an insecticide and a fertiliser recovery agent. The disinfection and enrichment of barren Sierozem soils in southern Kazakhstan could provide an eco-friendly approach to protect cucurbits (melon, watermelon, and pumpkin) against the melon fly. The average yield of watermelon treated with Vermiserbent increased by 2.3 t/ha compared to the control, melon by 4.6 t/ha, and pumpkin by 5.6 t/ha. The marketability of gourds as watermelons and melons after treatment with fertiliser increased by 1.2 times, and pumpkin by 1.1 times. The findings of studies conducted in agricultural fields in the Turkestan and Kyzylorda regions have shown that it is possible to produce environmentally sound gourds using a mixture of vermicompost, bentonite, and SPCW.

The Role of Mycotoxins in Interactions between Fusarium graminearum and F. verticillioides Growing in Saprophytic Cultures and Co-Infecting Maize Plants.

Fusarium graminearum (FG) and Fusarium verticillioides (FV) co-occur in infected plants and plant residues. In maize ears, the growth of FV is stimulated while FG is suppressed. To elucidate the role of mycotoxins in these effects, we used FG mutants with disrupted synthesis of nivalenol (NIV) and deoxynivalenol (DON) and a FV mutant with disrupted synthesis of fumonisins to monitor fungal growth in mixed cultures in vitro and in co-infected plants by real-time PCR. In autoclaved grains as well as in maize ears, the growth of FV was stimulated by FG regardless of the production of DON or NIV by the latter, whereas the growth of FG was suppressed. In autoclaved grains, fumonisin-producing FV suppressed FG more strongly than a fumonisin-nonproducing strain, indicating that fumonisins act as interference competition agents. In co-infected maize ears, FG suppression was independent of fumonisin production by FV, likely due to heterogeneous infection and a lower level of fumonisins in planta. We conclude that (i) fumonisins are agents of interference competition of FV, and (ii) trichothecenes play no role in the interaction between FG and FV. We hypothesize the following: (i) In vitro, FG stimulates the FV growth by secreting hydrolases that mobilize nutrients. In planta, suppression of plant defense by FG may additionally play a role. (ii) The biological function of fumonisin production in planta is to protect kernels shed on the ground by accumulating protective metabolites before competitors become established. Therefore, to decipher the biological function of mycotoxins, the entire life history of mycotoxin producers must be considered.

Affinity character analysis of magnolol and honokiol based on stepwise frontal analysis coupled with cell membrane chromatography

Magnolol and honokiol have been reported to exhibit anti-cancer activity. However, few studies are in relation to the interaction of magnolol/honokiol with vascular endothelial growth factor 2 (VEGFR2). In this study, a membrane chromatography method based on VEGFR2 was established for the interaction characteristic analysis between drug and receptor. The selectivity, repeatability and stability of the chromatographic model were evaluated using drugs acting on different receptors. The affinity between VEGFR2 and magnolol/honokiol was verified by cell membrane chromatography. The binding sites of magnolol/honokiol and VEGFR2 were analyzed by zonal elution. Especially, the dissociation equilibrium constants (Kd) of magnolol/honokiol and VEGFR2 were measured by zonal elution and stepwise frontal analysis respectively. In addition, the actions of magnolol/honokiol on VEGFR2 were analyzed by stepwise frontal analysis at different temperatures. The results showed that the binding sites of magnolol and honokiol on VEGFR2 were different from sorafenib, indicating that magnolol and honokiol could be used as competitive agents for self-competitive displacement experiment. The Kd values (order of magnitude) of magnolol/honokiol with VEGFR2 measured by stepwise frontal analysis were consistent with the zonal elution results. Honokiol binds VEGFR2 with higher affinity than magnolol. The main forces that stabilize the interactions of honokiol with VEGFR2 are hydrogen bonds and van der Waal’s forces, and the main force of magnolol is electrostatic forces. These discoveries could assist in the prediction of drug activity and understanding for the underlying mechanism.

Molecular imprinted based microcryogels for thrombin purification

In addition to understanding and explaining the functions of proteins, the need for low-cost, easy and efficient purification methods has been increasing in the field of protein purification, which is also important for enzyme production. In this context, an alternative approach has been developed for the purification of thrombin, which has a crucial role in the hemostatic process, via thrombin imprinted microcryogels that allow reuse and have high selectivity. The characterization studies of the microcryogels were accomplished with micro-computed tomography (µCT), scanning electron microscopy (SEM), optical microscope, surface area measurements (BET analyses) and swelling test measurements. By scanning various parameters affecting thrombin adsorption, the maximum thrombin adsorption capacity (Qmax) was found to be 55.86 mg/g. Also, the selectivity of microcryogels was investigated with the competitive agents and reusability studies were performed. The purity of thrombin was evaluated by Fast Performance Liquid Chromatography (FPLC) method. Experimental results indicated that adsorption of thrombin by the developed microcryogels fit the Langmuir isotherm model (Qmax: 55.86 mg/g, R2: 0.9505) and pseudo-second order for three different thrombin concentrations (R2: 0.9978, R2: 0.9998, R2: 0.9999).

ANALISIS PREDIKSI HARGA RUMAH DI JABODETABEK MENGGUNAKAN MULTIPLE LINEAR REGRESSION

The economic and infrastructure development in the Jabodetabek area has increased the rate of population growth in the region continues to increase. This attracted the attention of property agents in the housing price competition in the area, considering that the demand for housing will also continue to increase. There are several kinds of specificities and house prices in the Jabodetabek area, so an appropriate analysis is needed to get the desired house in this study the researcher implements the Multiple Linear method Regression to predict house prices with the desired specifications. This study used a total dataset of 3553 data with 11 variables obtained from the Kaggle.com. website The data will be through the pre-pronce process of data before training the model. Furthermore, at the evaluation stage using a test matrix, namely CC (Coefficient of Correlation), MAE (Met Absolute Error), RMSE (Root Met Square Error) is used to assess the performance of the model. Based on the results of the analysis from the dataset were 965 data, where the data was divided into two parts, namely, 80% as training data and 20% as testing data from the analysis results were obtained at an accuracy rate of 0.85 or 85% with an error rate of MAE of 375428909.51 and the RMSE level of 516385,50.

A demand-offer critical analysis of current drug development. Phase I drugs versus TCGA sequencing data

BackgroundPhase I clinical trials have become increasingly critical to regulatory approvals of novel agents. In phase I drug development, a global problem of unknown magnitude is the multiplicity of similar drugs being investigated against the same target, colloquially known as the ‘me too’ phenomenon. MethodsRanging from December 2020 to December 2022 we annotated phase I clinical trials present on clinicaltrials.gov.Public databases were queried for annotation of investigational agents (IAs). Extensive literature research and data mining were performed to annotate agents not present in public databases.The Cancer Genome Atlas (TCGA) pan-cancer sequencing cohort was used to perform second-level analyses to evaluate tumour types with a higher number of IA matches. ResultsA total of 1054 unique drug targets were identified. The most frequent IA classes were: cell products (1223), small-molecule inhibitors (1110), antibodies (733), and vaccines (346). Only a minority (8.9%) of phase I IAs were explored against a target without a competitive agent; 7% of agents shared targets with 2–3 other agents. Unfortunately, the majority (84%) shared targets with at least four other agents. Using data from the TCGA pan-cancer sequencing potentially underserved histologies were identified.Analysis of alteration-IA matches revealed potentially frequent and unexplored alterations in many tumour types. ConclusionsThe majority of IAs (86%) shared targets with at least three other agents. We argue that these duplicative efforts could be redirected toward unmet needs instead.

Hydrocarbon Stapling-Improved Coupled Folding-Upon-Binding of Peptide-Mediated Interaction between the Nucleocapsid and Phosphoprotein of Human Orthopneumovirus

Human orthopneumovirus (OPV) is a common respiratory virus that mostly causes respiratory illness in children. Development of therapeutic strategies to treat OPV infection has attracted considerable interest in the medicinal and biological communities. Over the past decades, significant effects have been addressed on disrupting membrane fusion events by targeting viral fusogenic glycoprotein (F-protein) with chemical small-molecule fusion inhibitors. Here, we focus on the rational design of biologic peptide inhibitors to disrupt the peptide-mediated interaction (PMI) between phosphoprotein (P-protein) and nucleoprotein (N-protein) involved in OPV genomic ribonucleoprotein complex. It is revealed that the core 9-mer peptide segment (C-peptide) derived from the C-terminal tail of P-protein is intrinsically disordered in an unbound state but would be structured into an ordered helical conformation when bound to N-protein, representing a biophysical process known as coupled folding-upon-binding. We demonstrated that the process is a compromise between the favorable enthalpy contribution and unfavorable entropy penalty, thus rendering the weak and transient nature of PMI, which could therefore be readily disrupted by competitive agents. Hydrocarbon stapling strategy was used to constrain the helical conformation of C-peptide in an unbound state by chemically introducing an all-hydrocarbon bridge spanning two [Formula: see text] residues of C-peptide. The stapling is observed to considerably enhance the helical propensity of peptide in an unbound state and to effectively improve the binding affinity of peptide to N-protein. Structural modeling analysis suggests that the stapled counterparts can bind to the active site of N-protein in a similar mode with unstapled C-peptide, where the stapled peptide is folded into a helical-like conformation, its anchor residue Phe241 deeply roots in a small druggable pocket of the active site, and the all-hydrocarbon bridge, as designed, is out of N–C complex interface to avoid disrupting the complex interaction.