Transport Cycle Research Articles

The cycleborg: everyday performances of solidarity and hope of the cycling female

ABSTRACT This article weaves together autoethnographic accounts, feminist readings of technology, agency, and performance, and historical points of reference to address the current gender gap in urban cycling in the UK. Through the lens of everyday performance, I examine how females on bicycles are marked as both highly visible spectacles and invisible ‘others’. In developing the feminist promise of the mechanically monstrous cyborg, I offer a new revolutionary figure of hope – the cycleborg – who puts her otherness to use. In doing so, she calls attention to the need re-think hegemonic attitudes towards mobility, agency, and environmentally conscious action. My argument for the performative and revolutionary potential of the cycleborg reconciles everyday gendered performance with environmental consciousness, and is analysed through two contemporary performances: Katie Mitchell’s Atmen (2013) and Hanna Cormick’s The Mermaid (2020). By examining the use of hybrid actors in these performances as tools for promoting social responsibility and radical statements about climate change, I propose, with a romantic, feminist, and fierce hope, that the cycleborg both offers a contemporary vehicle for environmental change and opens possibilities to claim a new kind of space in the world.

Cost-effectiveness analysis of the implementation of transport and technological cycles in the swarm use of agricultural UAVs

The article presents an approach that provides a comprehensive analysis of the cost-effectiveness of the implementation of transport and technological cycles in the swarm use of agricultural UAVs. A generalized “effect-cost” assessment is presented for ensuring the transport process within the framework of acceptable implementations of the transporttechnological cycle. It is shown that for swarm applications of UAVs in precision agriculture, cost-benefit analysis is also directly related to the microprocessor performance of the UAV swarm. The cost-effectiveness model proposed in the work is based on a previously obtained solution to the problem of optimal performance of a UAV swarm used for spraying crops. The results of improving the cost function are presented using a model example that illustrates the proposed approach. It is noted that the presented problem statement helps developers clearly identify alternatives and formulate additional questions that need to be answered to make a decision.

Stability analysis of ring-like cavitation bubble cluster structure in standing wave field

Multi-cavitation bubble system can easily produce cavitation clouds with various structure types, including ring-like cavitation structures. Nonetheless, the evolutionary behavior of the structure and the physical mechanism of its formation are less investigated. In this work, high-speed photography and image analysis techniques are used to study the evolution of ring-like cavitation bubble aggregation structure in an ultrasonic cleaning tank with a frequency of 40 kHz. The ring-like structure usually appears near the pressure nodule, and its radius is less than a one-eighth wavelength. The structure involves establishment, stability and disappearance during an envelope wave period, and its morphology is stable. The ring-like cavitation structure exists as a bubble transport phenomenon, and the formed small bubble clusters flow to the outside of the ring and become discrete cavitation bubbles, or the bubble nuclei rejoin the cycle of bubble transport in the main accumulation area of the bubble. The size of the ring structure and the bubble accumulation area oscillate slightly, and there exists the whole structure rotation phenomenon, which depends on the interaction of the main sound field and the secondary radiation field with the bubbles. Furthermore, in this work, a mathematical model of two bubbles is used to investigate the physical mechanism behind the formation of a ring. It is found that the sound field is a key factor in ring formation. The ring chain model is used to analyze the structural stability by taking into account the time delay caused by the secondary acoustic radiation of the bubble. The numerical results show that the equivalent potential energy distribution of a ring bubble chain with a one-eighth wavelength in radius can stabilize each bubble in the potential well, and the radial distribution presents a ring-like barrier structure. The higher the sound pressure, the greater the equivalent potential, and the more the bubbles are clustered. The higher the driving sound field, the more complete the ring chain structure is. However, high sound pressure may cause the agglomeration of bubbles with high number density to disintegrate the stability of the ring aggregation of bubbles and evolve into other types of bubble aggregation structures. The theoretical results are in good consistence with the experimental phenomena.

ACOX2 Serves as a Favorable Indicator Related to Lipid Metabolism and Oxidative Stress for Biochemical Recurrence in Prostate Cancer.

Given the heterogeneity of tumors, there is an urgent need for accurate prognostic parameters in prostate cancer (PCa) patients. Lipid metabolism (LM) reprogramming and oxidative stress (OS) play a vital role in the progression of PCa. In this work, we identified five LM-OS-related genes (including ACOX2, PPRAGC1A, PTGS1, PTGS2, and HAO1) associated with the biochemical recurrence (BCR) of PCa. Subsequently, a prognostic signature was established based on these five genes. Kaplan-Meier survival estimates, receiver operating characteristic curves, and relationship analysis between risk score and clinical characters were applied to measure the robustness of the signature in an external cohort. A nomogram of risk score combined with clinical characteristics was constructed for clinical application. Functional enrichment analysis suggested that the underlying mechanism related to the signature included the calcium signaling, lipid transport, and cell cycle signaling pathways. Furthermore, WEE1 inhibitor was identified as a potential agent related to the cell cycle for high-risk patients. The mRNA expression and the prognostic value of the five genes were determined, and ACOX2 was identified as the key gene related to the prognostic signature. The protein expression of ACOX2 was measured in a prostate tissue microarray through an immunohistochemistry assay, confirming the bioinformatics results. By constructing the ACOX2-overexpressing PCa cell lines PC-3 and 22Rv1, the biological function of PCa cells was investigated. The cell viability, colony formation, migration, and invasion ability of PCa cell lines overexpressing ACOX2 were hindered. Decreased cellular lipid content and elevated cellular ROS content were observed in ACOX2-overexpressing PCa cell lines with reduced G2/M phases. In conclusion, this work presents the first prognostic signature specifically focused on LM-OS for PCa. ACOX2 could serve as a favorable indicator for the BCR in PCa. Further experiments are required to identify the potential underlying mechanism.

Mindful Eco-Wellness: Steps Toward Personal and Planetary Health.

Rising greenhouse gas levels heat the earth's surface and alter climate patterns, posing unprecedented threats to planetary ecology and human health. At the same time, obesity, diabetes, and cardiovascular disease have reached epidemic proportions across the globe, caused in part by decreases in physical activity and by over-consumption of carbon-intensive foods. Thus, interventions that support active transportation (walking or cycling rather than driving) and healthier food choices (eating plant-based rather than meat-based diets) would yield health and sustainability "co-benefits." Emerging research suggests that mindfulness-based practices might be effective means toward these ends. At the University of Wisconsin-Madison, we have developed a mindfulness-based group program, Mindful Eco-Wellness: Steps Toward Healthier Living. Loosely based on the Mindfulness-Based Stress Reduction course, our curriculum teaches mindfulness practices in tandem with sustainability principles, following weekly themes of Air, Water, Food, Energy, Transportation, Consumption, Nature Experience, and Ethics. For example, the "Air" class offers participants practice in guided breath meditations while they learn about the benefits of clean air. The theme of "Food" is presented through mindful eating, accompanied by educational videos highlighting the consequences of food production and consumption. "Transportation" includes walking/movement meditations and highlights the health benefits of physical activity and detriments of fossil-fueled transportation. Pedagogical lessons on energy, ecological sustainability, and the ethics of planetary health are intertwined with mindful nature experience and metta (loving-kindness) meditation. Curricular materials, including teaching videos, are freely available online. Pilot testing in community settings (n = 30) and in group medical visits (n = 34) has demonstrated feasibility; pilot data suggests potential effectiveness. Rigorous evaluation and testing are needed.

Environmental safety problems of swarm use of UAVs in precision agriculture

Digital technologies are an integral part of the functioning of many sectors of the state, which applies, in particular, to the agricultural sector, which plays a significant role in shaping the state’s economy, ensuring food independence and export potential. One of the promising areas of digital transformation is the swarm use of unmanned aerial vehicles in precision agriculture, the use of which significantly increases productivity while reducing production costs. Analysis of the transport and technological cycles of UAVs allows us to identify a number of existing problems in the swarm use of UAVs that are associated with anthropogenic impact. The article examines the potential impact of unmanned aerial vehicles on the environment, analyzing such aspects as noise and vibration emissions, air and soil pollution, electromagnetic radiation, and the impact on biodiversity and ecosystems in general. The study is aimed at identifying key environmental problems, identifying ways to minimize and solve them. The authors offer recommendations for ensuring environmental safety and sustainable development of precision agriculture with the swarm use of unmanned systems.

Assessing the reliability of the hardware and software complex of fault-tolerant control systems

Reliability assessment of hardware and software complexes is relevant due to the expansion of automation and intellectualization for sustainable development of mining and transport systems, energy complexes and mechanical engineering. This paper presents an approach to the reliability assessment of control systems based on functional block diagrams of software and control flows. When assessing the reliability of a control system, software is considered taking into account the close relationship with hardware. The article considers control systems that assume the performance of the required function periodically and repeatedly within the transportation and technological cycle of the system. This is typical for automation of mining and transportation systems, as well as energy complexes. It is taken into account that the main function within the transportation-technological cycle does not require a complex algorithm in contrast to the operating system. Thus, the proposed reliability assessment model allows to take into account the interaction between hardware and software of automated control systems, including the variant of their faulttolerant execution.

Development of a precision farming system based on the use of UAVs for spraying pesticides and fertilizers

Further effective development of the precision farming system is largely associated with the use of UAVs for spraying pesticides and fertilizers. The article analyzes the characteristics of UAVs for spraying pesticides and fertilizers (spraying drones) and notes the advantages of UAVs for aerial spraying, as well as the problems that hinder their use. Previously published work discusses the use of agricultural UAVs to spray liquid pesticides, but it should be noted that dry crop protection products, including biological pesticides and dry fertilizers, can also be used. Conditions are given that require the expanded use of UAVs for spraying pesticides and fertilizers as part of the further development of a precision farming system. These conditions confirm that the development of a UAV-based precision agriculture system for spraying fertilizers and pesticides for plant protection is currently a viable option when choosing unmanned aerial equipment. The swarm (or group) use of agricultural UAVs is promising. In this case, research into the microprocessor performance of drone swarms is of particular importance to improve the safety of UAV transport and technological cycles, which combine ground and airborne operations performed by both the operator and the components of the unmanned aircraft system.

Ocean, atmosphere, and cloud quantity on the surface conditions of tidally-locked habitable zone planets

The study of tidally-locked planets has become an active field of research in recent years due to their interesting properties and abundance in the universe. As one hemisphere of these planets is always facing a star and the other is covered in perpetual darkness, habitable conditions on such extreme worlds were generally considered impossible. However, recent studies have shown that under specific planetary atmospheric and oceanic conditions, temperatures could stay mild enough for the planet to be habitable. In this paper, we created an energy balance model to determine the atmospheric and surface temperatures of tidally-locked worlds as a function of several planetary factors. We hypothesized that these factors—atmospheric and oceanic heat circulation and clouds—are crucial for habitable conditions to exist on these planets. We then assessed what specific set of values of these factors would make habitable conditions possible. We found that global heat transportation cycles act as a major determining factor on the planetary climate and, therefore, habitability. Apart from being in the habitable zone, Earth-like oceans and atmospheric coverage could also be essential for the habitability of tidally-locked planets, which establishes viable criteria in future searches for extraterrestrial life and livable worlds.

ЦИФРОВОЙ ДВОЙНИК ЭЛЕКТРОПРИВОДА ГРУЗОВОГО ТРИЦИКЛА ДЛЯ ТРАНСПОРТИРОВКИ СЕМЯН

One of the most important directions of the development of the agricultural sector is the renewal of tractor and road transport for agricultural purposes, which is due to the predominance of manual labor on loading and unloading and transport operations, increased labor intensity of processes. The methods of selecting the optimal characteristics of vehicles are focusing on the average power characteristics, as well as the average values of the economic indicators of a particular vehicle. The paper is devoted to the study and optimization of the parameters of an electric cargo vehicle depending on the set conditions of the transport task of an agricultural enterprise by the method of simulation modeling. (Research purpose) The research purpose is to obtain optimal traction-power and energy-economic characteristics of the vehicle through simulation of the performance of the transport task of harvesting breeding grain at an agricultural enterprise. (Materials and methods) Conducted a study of simulation simulation of the transport cycle for harvesting breeding grain by a vehicle to identify the optimal parameters of the electric drive and batteries. It was determined that the simulation model contains the parameters of the transport cycle in the form of the distances of the track segments, the required speed of movement, the characteristics of the road surface, as well as the characteristics of the vehicle chassis and the weight with the load. Traction-speed and energy-economic characteristics of an electric vehicle were chosen as objects of research. (Results and discussion) The result of the simulation simulation was the dependence of the required power of the electric motor, taking into account its overload capacity, on the conditions of external factors of the transport cycle. (Conclusions) The analysis of the battery discharge made it possible to establish a minimum capacity of 80 ampere-hours for the full performance of the entire transport task of harvesting breeding grain. The function of overloading the motor twice for a given time of two seconds is justified in order to reduce the required rated power of the electric motor.

Tree planting as a health promotion strategy on cycle paths in a municipality with unfavorable weather conditions for active transport

Improving conditions and encouraging active mobility has become a necessity in the current parameters of urbanization in Brazil. Using active transport, through cycling, provides a sustainable characteristic to the urban environment, integrating environmental, social and economic improvements. The present study aims to analyze the influence of afforestation on cycling structures’ comfort condition in a Brazilian municipality in a region with extreme climate conditions: high temperatures and humidity unfavorable to active transport. Temperature and relative humidity data were collected using an HTR-157 thermo-hygrometer in 7 urban cycling structures in the municipality of Sinop, State of Mato Grosso, Brazil, from March to July 2020. Temperature and humidity were used to determine the Temperature and Humidity Index (THI). The analysis using a dendrogram, carried out using the hierarchical grouping method, for the tree-lined and non-tree-lined cycle paths, showed that cycle path 7, the only one with the presence of continuous and contiguous trees on both sides of the road, showed different behavior from all the others, with more favorable temperature and relative humidity indicators for the entire analyzed period (dry and rainy). It is concluded that afforestation constitutes an important strategy for promoting health in the urban environment, providing better thermal comfort and environmental quality conditions, especially when there are low values of relative air humidity, positively supporting aspects related to afforestation such as aesthetics, safety and microclimate.

Are all bike lanes built equal? Using bike share GPS data to quantify cycling infrastructure investments’ ridership effects in Hamilton, Ontario

Separated cycling infrastructure, together with other investments such as bike share systems, are increasingly seen as important tools for planners and policy makers to promote urban cycling and multi-modal transportation systems. However, determining causality – that the construction of separated cycling infrastructure promotes higher levels of ridership – presents a significant challenge to researchers. This study uses 495,084 Hamilton Bike Share (HBS) trip routes, derived from GPS trajectories and a custom map-matching algorithm, to inform a longitudinal analysis concerning the influence of 10 separated cycling infrastructure investments made by the City of Hamilton between January 2019 and March 2022. Monthly bicycle kilometers traveled (BKT) along the segments, to account for variability in level of segment use per trip, was modeled using fixed effects regression, which controls for time and location-specific effects, climatological, and contextual factors. A suite of variables indicating completion of the various interventions were included, and of the 10 interventions, five were found to have highly positive impacts (71.60% to 441.95% increases) on monthly BKT. Heterogeneity across the investments was explored. Concrete-barrier separated cycle tracks were the most common interventions with significant and positive coefficients in the model, as were segments more connected with other separated cycling infrastructure, and more accessible to system ridership. This study provides an empirical, longitudinal, city-wide examination of the effects of cycling infrastructure on bike share ridership, setting a framework for further study of private cycling and the nature of the increases in bike share traffic across the interventions of interest.

P Glycoprotein Mediated Drug Interaction between Digoxin and Orange Juice- Exploratory Study by In-vitro Approach

P.gp is an efflux transporter that plays a vital role in drug transportation. Aim: This exploratory study is aimed to find the P-glycoprotein (P-gp) mediated drug interaction between digoxin and orange juice, conducted for a period of six months. The 3D structure of the human P-gp was predicted from the peptide by molecular threading using default settings. The structural analysis and verification server and the PDB were used to assess the stereo-chemical quality of these structures. The molecular structure of P-gp in a transport cycle has been investigated using a variety of methods. Molecular docking has been performed to predict the highest binding affinity to P gp with ligands of orange juice and ligands of ketoconazole. In 50% ethyl acetate extract of orange juice was prepared and a transcellular transport study was done using MDR1 transfectants and MRP2 transfectants LLC-PK1, LLC-GAS-COL150, LLC-pCI and LLC-MRP cells grown in M199 medium supplemented with 10% fetal calf serum at 37℃ in a humidified atmosphere of 5% CO2/95% air. The minimum inhibitory concentration is found to be 125 mcg/mL. Hence, the loading concentration along with orange juice is found to be 24.562 mcg/mL and the concentration less than that is found with poor sensitivity. Whereas the concentration above 125 mcg/mL loaded with orange juice is found to inhibit P-gp. The absorbance of orange juice and digoxin was measured at 470 nm. Since digoxin is not sensitive to orange juice beyond the concentration of 125 mcg/mL, it is considered as the MIC. Hence orange juice is a moderate p-gp Inhibitor and it escalates the serum digoxin toxicity. Orange juice is inhibiting the P-gp which increases the serum toxicity levels of digoxin.

Gender differences in cycling motions: On objective functions for urban cycling

AbstractSocietal challenges such as climate change and the energy crisis are putting bicycles at the centre of many people's mobility considerations ‐ but not all. In addition to the need for improved infrastructure, stability and comfort when cycling also play a major role. Simulations offer the possibility to investigate the influence of biometric differences on comfort and stability more cost‐effectively than the measurement methods currently used for bike fitting. Bicycle dynamics and multibody simulation of cycling motions have been the subject of research for a long time. Often data‐driven models are used that follow pre‐established measurement data. Moreover, optimal control simulations for competitive sports are available, where for example, the travel distance during a given time is maximised. However, such models are usually based on the biometric data of an average 18–25 year old male, while the influence of gender differences on cycling motions are rarely explored. Yielding towards closing this gender data gap, we use a discrete mechanics and optimal control framework (DMOCC), which benefits from its structure preserving formulation and has been successfully used for biomechanical applications before. The implemented multibody model of a leg performing a cycling motion can be adapted to individual 3D scans via the geometry parameters and the bounds on the joint angles and torques, providing the possibility to investigate the influence of biometric diversity on the resulting motions. In this first approach, we discuss several possibilities to formulate appropriate objective functions for cycling. The final aim of this study is to supplement a given bike frame by software chosen adaptations so that it optimally fits to individual biometric conditions, thus increasing comfort, the sense of safety and performance, which ultimately enables greater participation in the mobility transition for women, children, and seniors.

Transport and inhibition mechanisms of human VMAT2.

Vesicular monoamine transporter 2 (VMAT2) accumulates monoamines in presynaptic vesicles for storage and exocytotic release, and has a vital role in monoaminergic neurotransmission1-3. Dysfunction of monoaminergic systems causes many neurological and psychiatric disorders, including Parkinson's disease, hyperkinetic movement disorders and depression4-6. Suppressing VMAT2 with reserpine and tetrabenazine alleviates symptoms of hypertension and Huntington's disease7,8, respectively. Here we describe cryo-electron microscopy structures of human VMAT2 complexed with serotonin and three clinical drugs at 3.5-2.8 Å, demonstrating the structural basis for transport and inhibition. Reserpine and ketanserin occupy the substrate-binding pocket and lock VMAT2 in cytoplasm-facing and lumen-facing states, respectively, whereas tetrabenazine binds in a VMAT2-specific pocket and traps VMAT2 in an occluded state. The structures in three distinct states also reveal the structural basis of the VMAT2 transport cycle. Our study establishes a structural foundation for the mechanistic understanding of substrate recognition, transport, drug inhibition and pharmacology of VMAT2 while shedding light on the rational design of potential therapeutic agents.

The transport activity of the multidrug ABC transporter BmrA does not require a wide separation of the nucleotide-binding domains

ATP-binding cassette (ABC) transporters are ubiquitous membrane proteins responsible for the translocation of a wide diversity of substrates across biological membranes. Some of them confer multidrug or antimicrobial resistance to cancer cells and pathogenic microorganisms, respectively. Despite a wealth of structural data gained in the last two decades, the molecular mechanism of these multidrug efflux pumps remains elusive, including the extent of separation between the two nucleotide-binding domains (NBDs) during the transport cycle. Based on recent outward-facing structures of BmrA, a homodimeric multidrug ABC transporter from Bacillus subtilis, we introduced a cysteine mutation near the C-terminal end of the NBDs to analyze the impact of disulfide-bond formation on BmrA function. Interestingly, the presence of the disulfide bond between the NBDs did not prevent the ATPase, nor did it affect the transport of Hoechst 33342 and doxorubicin. Yet, the 7-amino-actinomycin D was less efficiently transported, suggesting that a further opening of the transporter might improve its ability to translocate this larger compound. We solved by cryo-EM the apo structures of the cross-linked mutant and the wild-type protein. Both structures are highly similar, showing an intermediate opening between their NBDs while their C-terminal extremities remain in close proximity. Distance measurements obtained by Electron Paramagnetic Resonance spectroscopy supported the intermediate opening found in these 3D structures. Overall, our data suggest that the NBDs of BmrA function with a tweezers-like motion, with a transport mechanism distinct from the related lipid A exporter MsbA.

A cohort study examining individual factors influencing cycling as a transportation mode in São Paulo, Brazil

The aim of this study is to explore the relationship between individual-level factors and cycling for transportation in a cohort of participants living in São Paulo city, Brazil. The same participants (n = 1,431 adults) were interviewed in 2014/2015 (Wave 1) and 2020/2021 (Wave 2) as part of the ‘São Paulo Health Survey-ISA: Physical Activity and Environment’. For the longitudinal transport cycling binary outcome, participants who reported cycling at both time-points and those who were cycling at Wave 2 only were coded as a positive longitudinal pattern for cycling. Those who were not cycling at either Waves, and those who were cycling at Wave 1 only, were grouped into a negative pattern for cycling. The relationship between the longitudinal patterns for transport cycling and sociodemographics, health characteristics, and behaviors at Wave 1 were tested using bivariate analysis, and the significant individual-level factors were then examined in a multivariable binary logistic regression model. The odds of being classified in the positive cycling pattern were lower for women [OR = 0.09; 95 % CI = 0.04–––0.19], and higher for persons aged 30 – 39 [OR = 3.25; 95 % CI = 1.38–––7.66], those who owned a bicycle [OR = 2.00; 95 % CI = 1.13–––3.54], and those who engaged in ≥ 120 min/week of transport walking [OR = 2.07; 95 % CI = 1.24–––3.47] or leisure-time physical activity [OR = 1.77; 95 % CI = 1.02–––3.06]. Cycling interventions and promotion should target women, the mid-aged and involve facilitating bicycle access. Advocacy for physical activity interventions is needed to influence transport cycling.

Experimental and Computational Analysis of Newly Identified Pathogenic Mutations in the Creatine Transporter SLC6A8

Creatine is an essential metabolite for the storage and rapid supply of energy in muscle and nerve cells. In humans, impaired metabolism, transport, and distribution of creatine throughout tissues can cause varying forms of mental disability, also known as creatine deficiency syndrome (CDS). So far, 80 mutations in the creatine transporter (SLC6A8) have been associated to CDS. To better understand the effect of human genetic variants on the physiology of SLC6A8 and their possible impact on CDS, we studied 30 missense variants including 15 variants of unknown significance, two of which are reported here for the first time. We expressed these variants in HEK293 cells and explored their subcellular localization and transport activity. We also applied computational methods to predict variant effect and estimate site-specific changes in thermodynamic stability. To explore variants that might have a differential effect on the transporter’s conformers along the transport cycle, we constructed homology models of the inward facing, and outward facing conformations. In addition, we used mass-spectrometry to study proteins that interact with wild type SLC6A8 and five selected variants in HEK293 cells. In silico models of the protein complexes revealed how two variants impact the interaction interface of SLC6A8 with other proteins and how pathogenic variants lead to an enrichment of ER protein partners. Overall, our integrated analysis disambiguates the pathogenicity of 15 variants of unknown significance revealing diverse mechanisms of pathogenicity, including two previously unreported variants obtained from patients suffering from the creatine deficiency syndrome.

Addressing the resource curse: Empirical analysis of greenhouse gas mitigation strategies for sustainable development

The phenomenon of the resource curse and its implications for sustainable development is of paramount importance for contemporary societies. The study specifically explores the impact of resource extraction by infrastructure companies during the construction process, on environmental sustainability and public health. The challenges posed by the resource curse are highlighted and also scrutinizes the interconnection between health, carbon emissions, and other macroeconomic variables in the United States, spanning 1990–2022 for sustainable development. The respective study attempts to measure health in two ways, (i) Physical Health (Life Expectancy) and (ii) Mental Health (Depression). The findings of the ADF test show that variables are stationary at a level I(0) and at the first difference I(1) as well, which indicates the use of the ARDL technique. Hence, the ARDL estimation approach to find the short and long-run relationships between variables. First, the findings for our depression model illustrate that an increase in carbon emissions and unemployment deteriorates the physical health of an individual; however, improves with the upsurge in economic growth. Second, the life expectancy model indicates that sustainable economic growth enhances the life expectancy of an individual however, posits a decline in life expectancy with the rise in carbon emissions and inflation. Further, the application of CUSUM and CUSUM of a square verifies the stability of our model. A sustainable, prosperous, and healthier future can only be achieved by successfully integrating physical activities like promoting active transportation (walking and cycling), and efficiently utilizing resources like creating blue and green spaces into greenhouse gas mitigation strategies hence creating a room that leads to overall sustainable development in an economy.

Analysis of system parameters in a microprocessor performance model of a swarm of agricultural spraying UAVs

The article develops a method for analyzing system parameters in a microprocessor performance model of a swarm of agricultural spraying UAVs. It is shown that the use of models for assessing the efficiency of UAV operation at various stages of the life cycle is possible on the basis of unified approaches to constructing a network model of UAV transport and technological cycles. The microprocessor performance model proposed by the authors provides a search for optimal solutions based on engineering programming approaches. Analysis of the influence of system parameters on the main criterion that determines the microprocessor performance of the system is performed based on a number of assumptions regarding the correspondence of predicted and actual parameter values. The main directions in modeling the microprocessor performance of UAVs are identified, for which sensitivity analysis of system parameters is the most important.