Regional Distribution Research Articles

Genetic diversity, population structure and ecological niche modeling of Thyrinteina arnobia (Lepidoptera: Geometridae), a native Eucalyptus pest in Brazil

Thyrinteina arnobia (Lepidoptera: Geometridae) is a native American species. Despite its historical importance as an insect pest in Eucalyptus plantations, more information is needed regarding the population diversity, demography, and climatic variables associated with its distribution in different regions of Brazil. We used a phylogeographic approach to infer the genetic diversity, genetic structure, and demographic parameters of T. arnobia. We also conducted an ecological niche modeling (ENM) to predict suitable areas for T. arnobia occurrence in Brazil and other countries worldwide. Although T. arnobia populations have low genetic diversity in Brazil, we identified mitochondrial haplogroups predominating in different Brazilian regions and high ФST and ФCT values in AMOVA, suggesting a low frequency of insect movement among these regions. These results indicate that outbreaks of T. arnobia in Eucalyptus areas in different regions of Brazil are associated with local or regional populations, with no significant contribution from long-distance dispersal from different regions or biomes, suggesting that pest management strategies would be implemented on a regional scale. In Brazil, the demographic and spatial expansion signals of T. arnobia seem to be associated with the history of geographical expansion of Eucalyptus plantations, a new sustainable host for this species. ENM indicated that isothermality and annual rainfall are critical climatic factors for the occurrence of T. arnobia in tropical and subtropical areas in the Americas. ENM also suggested that T. arnobia is a potential pest in Eucalyptus areas in all Brazilian territory and in regions from Africa, Asia, and Oceania.

Mapping the Landscape of Climate-Smart Agriculture and Food Loss: A Bibliometric and Bibliographic Analysis

Global food security has been significantly affected by climate change; hence, there is a need to come up with lasting and adaptable agricultural practices. The objective of this study is to understand the relationships between climate-smart agriculture (CSA) and food loss management, as these are essential fields that influence sustainable agriculture. By conducting a detailed bibliometric and bibliographic analysis, we have mapped out the research landscape regarding the intersection of CSA and food loss; more importantly, we have concentrated on climate-smart strategies’ implementation for the reduction of losses all through the agricultural value chain. Our investigation combined results concerning types of crops that can survive extreme weather conditions like droughts caused by global warming or cold snaps from severe weather events. This work brought out core research directions, clusters, and the regional distribution of scholarly articles, giving an understanding of the present state of CSA and food loss study.

Descriptive analysis of intergovernmental agreements in the brazilian ministry of agriculture and livestock: exploring data clustering of agreements and grantees

The agricultural and livestock industry is a cornerstone of Brazil’s economy, wielding substantial influence over the nation’s GDP and food security. Within this framework, the Ministry of Agriculture and Livestock (MAPA) plays an essential role in shaping and implementing policies geared towards fostering the sustainable growth of these critical sectors through public agreements. In this context, the equitable and efficient allocation of resources requires a thorough understanding of these agreements’ geographical distribution and temporal dynamics. This study meticulously scrutinizes the geographic spread, temporal progression, and inherent characteristics of the agreements signed by MAPA from 2019 to 2023. It examines the agreements using data mining techniques, encompassing clustering and statistical analyses. The research unveiled a pronounced regional distribution in the agreements, with Brazil’s Southern region emerging as the primary destination of grants, closely shadowed by the Southeast. Consequently, the study offers a holistic comprehension of the geographical dispersion, temporal evolution, and intrinsic traits of the agreements brokered by MAPA. Such insights serve as invaluable assets, empowering policymakers to formulate more efficient and targeted strategies for nurturing Brazil’s agricultural and livestock industry concerning the allocation of resources and the elaboration of agreements.

Development and validation of a three-dimensional wind-turbine wake model based on high-order Gaussian function

Under natural conditions, the wake velocity distribution approximates top-hat shape in the near wake center, and a Gaussian shape in the far wake. To improve the prediction accuracy of the wake distribution, this paper proposes a three-dimensional high-order Gaussian linear entrainment wake model by modifying the wake velocity distribution with high-order Gaussian function. Field tests and wind tunnel tests are then conducted. The obtained results show that the proposed model can accurately describe the radial and vertical spatial distributions of the wake flow. Under different wind speeds, the maximum and minimum radial relative errors are respectively 7.29% and 1.4%, while the maximum and minimum vertical relative errors are respectively 7.64% and 3.87%. This demonstrates that the proposed model can accurately predict the velocity distribution in the whole wake region. The proposed model is simple, has low cost, and exhibits high accuracy. Thus, it can be used in wind farm layout optimization and wake control.

Determination of orthodontic anomaly patterns in patients in the Thrace region and assessment of the relationship between orthodontic anomalies and DMFT indices: a retrospective study

OBJECTIVE: The aim of this study was to investigate the prevalence of dental and skeletal anomalies that could be a cause of malocclusion and their relationship with caries distribution in the western region of Türkiye. MATERIALS AND METHOD: A retrospective study was conducted with 1815 digital panoramic and lateral cephalometric radiographs taken from patients, age ranging between 6 and 47 years, who applied for orthodontic treatment. The lateral cephalometric radiographs, panoramic radiographs, and dental records were reviewed according to skeletal anomaly, dental malocclusion (Angle classification), and decay-missing- filling teeth (DMFT) index. Kruskal Wallis test was used in intergroup comparisons of variables that did not show normal distribution, and Dunn’s multiple comparison test was used in subgroup comparisons. The chi-square test and Yates correction were used in comparisons of qualitative data. RESULTS: The mean DMFT of the dental Class I malocclusion group was statistically and significantly lower than Class II division 1 and Class III malocclusion groups (p < 0.05). The mean DMFT index of Class II subdivision malocclusion group was statistically and significantly lower than that of Class III malocclusion group (p < 0.05). The DMFT index was significantly lower in the skeletal Class I group compared to the skeletal Class II and Class III anomaly groups (p < 0.05). CONCLUSION: There is a correlation between DMFT indices and dental malocclusions as well as skeletal anomalies. By correcting dental malocclusions and skeletal anomalies with orthodontic treatment and providing ideal occlusion, it becomes easier for patients to maintain oral hygiene and DMFT indices might decrease.

Modeling regional occupancy of fishes using acoustic telemetry: a model comparison framework applied to lake trout

Acoustic telemetry is a common tool used in fisheries management to estimate fish space use (i.e., occupancy) from a local habitat scale to entire systems. Numerous analytical models have been developed to estimate different aspects of fish movement from telemetry datasets, yet evaluations of model performance and comparisons among models are limited. Here, we develop a framework to evaluate model estimates of regional occupancy in large and fragmented systems using an acoustic receiver array in Lake Champlain. We simulated the tracks of 100 acoustically tagged fish using a random walk function and created detection events based on receiver positions and distance-based detection probability. Regional occupancy for the simulated data was estimated by six movement models that ranged in analytical complexity, and results were compared to the true distributions for each simulated track to evaluate model error. The six movement models included: (1) a basic residency index using detections alone; (2) a residency index using last-observation-carried-forward; (3) a centers of activity model; (4) linear and non-linear interpolations (i.e., least-cost paths); and (5 and 6) two dynamic Brownian bridge movement models generated using separate packages in R. We developed a model selection process to compare model performance and select the optimal analysis based on simulation error. This process showed significant differences in model performance among the six movement models based on model error. Overall, the model generating least-cost paths using linear and non-linear interpolations consistently provided the most accurate regional occupancy estimates. Based on these simulation results, we applied this model to a case study that evaluated patterns in the regional distribution of stocked lake trout (Salvelinus namaycush) in Lake Champlain, which demonstrated distinct regional occupancy of two stocked lake trout groups. These results demonstrate potential for large variability in interpretation of acoustic telemetry data for describing regional fish distribution dependent on the analytical method used.

Regional distribution of mechanical strain and macrophage-associated lung inflammation after ventilator-induced lung injury: an experimental study

BackgroundAlveolar macrophages activation to the pro-inflammatory phenotype M1 is pivotal in the pathophysiology of Ventilator-Induced Lung Injury (VILI). Increased lung strain is a known determinant of VILI, but a direct correspondence between regional lung strain and macrophagic activation remains unestablished. [68Ga]Ga-DOTA-TATE is a Positron Emission Tomography (PET) radiopharmaceutical with a high affinity for somatostatin receptor subtype 2 (SSTR2), which is overexpressed by pro-inflammatory-activated macrophages. Aim of the study was to determine, in a porcine model of VILI, whether mechanical strain correlates topographically with distribution of activated macrophages detected by [68Ga]Ga-DOTA-TATE uptake.MethodsSeven anesthetized pigs underwent VILI, while three served as control. Lung CT scans were acquired at incremental tidal volumes, simultaneously recording lung mechanics. [68Ga]Ga-DOTA-TATE was administered, followed by dynamic PET scans. Custom MatLab scripts generated voxel-by-voxel gas volume and strain maps from CT slices at para-diaphragmatic (Para-D) and mid-thoracic (Mid-T) levels. Analysis of regional Voxel-associated Normal Strain (VoStrain) and [68Ga]Ga-DOTA-TATE uptake was performed and a measure of the statistical correlation between these two variables was quantified using the linear mutual information (LMI) method.ResultsCompared to controls, the VILI group exhibited statistically significant higher VoStrain and Standardized Uptake Value Ratios (SUVR) both at Para-D and Mid-T levels. Both VoStrain and SUVR increased along the gravitational axis with an increment described by statistically different regression lines between VILI and healthy controls and reaching the peak in the dependent regions of the lung (for strain in VILI vs. control was at Para-D: 760 ± 210 vs. 449 ± 106; at Mid-T level 497 ± 373 vs. 193 ± 160; for SUVR, in VILI vs. control was at Para-D: 2.2 ± 1.3 vs. 1.3 ± 0.1; at Mid-T level 1.3 ± 1.0 vs. 0.6 ± 0.03). LMI in both Para-D and Mid-T was statistically significantly higher in VILI than in controls.ConclusionsIn this porcine model of VILI, we found a topographical correlation between lung strain and [68Ga]Ga-DOTA-TATE uptake at voxel level, suggesting that mechanical alteration and specific activation of inflammatory cells are strongly linked in VILI. This study represents the first voxel-by-voxel examination of this relationship in a multi-modal imaging analysis.

Large‐Area Photomodification of Nanotopography for Controlling Cell Behavior

AbstractNanotopographic surfaces are a powerful tool for studying and controlling cell behavior. However, the fabrication of nanotopographic master patterns using conventional photolithography is expensive, which limits the range of designs that can be explored. In this study, a method is demonstrated for the photoreshaping of large‐area patterns of nanoridges. The original master pattern is created using conventional lithography, and an azopolymer replica is prepared using soft lithography. The manipulation of the nanoridges is achieved by projecting light with specific polarizations and exposure times, resulting in controllable widening, buckling, or removal of the ridges. The reprogrammed azopolymer master patterns can then be replicated, creating reproducible new nanotopographies that can be transferred into other materials using a molding procedure. Diffraction can be used for in situ monitoring of the reprogramming during exposure. Image‐analysis methods are used to characterize buckled ridges as a function of exposure time. The response of MCF10A epithelial cells are investigated to buckled nanoridges. A substantial impact of buckling on the dynamics and location of actin polymerization, as well as on the distribution and lengths of contiguous polymerized regions is also observed.

Trichinella findings in Germany from 2013 to 2023 indicate an increased prevalence in wild boar (Sus scrofa) population

In Germany, Trichinella spp. are mainly detected in the sylvatic cycle. Here, the affected animal species are wild boar, fox, badger, raccoon dog, wolf, raccoon and golden jackal. The predominantly detected species are T. spiralis, followed by T. pseudospiralis and T. britovi. Due to legal requirements in Germany, all hunted wild boars and other susceptible animals must be examined for Trichinella spp. if their meat is intended for human consumption. In recent years, an increase in the number of Trichinella-positive wild boar shot in Germany has been registered and the prevalence of positive wild boar scaled up from 0.002% to 0.005% between 2013 and 2023. Regarding regional distribution, most Trichinella findings in wild boar have been registered in the North-Eastern part of Germany. Here, the federal states Western-Pomerania, Brandenburg and Saxony that are bordering to Poland are particularly affected. The increase in positive wild boar may be associated with the spread of raccoon dogs and wolves in these regions. Thus, measures are required to prevent the spread of Trichinella among wild animals and to follow the systematic meat inspection in susceptible wild animals intended for food especially wild boar.

Clinico-Radiological Outcomes of Conservative versus Operative Treatment of Physeal Injuries

Abstract Introduction: Physeal injuries are common in our day-to-day practice, with the utmost importance on early recognition so as to avoid complications such as premature physeal closure or limb length discrepancy. Physeal injuries are often missed, leading to poor outcomes. This study aims to evaluate the operative and nonoperative methods of treating physeal injuries. Materials and Methods: All pediatric patients who presented to the casualty ward with physeal injuries were enrolled, and regional distribution was done. Salter–Harris classification was used to classify the type of physeal injuries. Additional investigations such as computed tomography or magnetic resonance imaging were done where needed. Results: A total of 117 patients were included in the study, out of which 73 were male and 44 were females. Type II Salter–Harris injuries were found to be the most common. Left-sided injuries were common as compared to right-side ones, out of which road traffic accidents was the most common mechanism of injury, followed by slips and falls. About 94.1% were closed injuries, while 5.98% were compounding injuries. Out of 117 patients, 73 were treated conservatively, while 44 were managed operatively. Conclusion: This study illustrated an overall similar success between the surgical and the conservative treatments for pediatric physeal injuries. Due to the higher complication rate reported in the conservative management group, the conservative treatment cannot be considered safer than the surgical treatment. With early recognition and effective treatment of physeal injuries, good results are expected even in intra-articular physeal injuries. Long-term follow-up is important to identify the development of physeal growth disturbances.

Enhancing Electric Field Distribution in the Pancreas for Improved TTFields Therapy: A Computational Modeling Investigation.

Tumor treating fields (TTFields) therapy has shown effectiveness in glioblastoma treatment and holds potential for other cancers. However, its application in pancreatic cancer and the distribution of electric fields in pancreas remain unexplored. This study aims to investigate the electric field distributions in pancreatic regions using different array configurations for TTFields therapy. Computational modelling was employed to simulate electric field distributions, and quantitative analysis was conducted. Human body impedance measurements were used to optimize the electric properties of the model. Various array configurations were examined to assess their impact on the electric field distributions. The study revealed that well-positioned arrays, specifically the combination of 20-piece transducer arrays in anterior-posterior orientation and 13-piece transducer arrays in left-right orientation, consistently achieved electric fields exceeding the 1V/cm threshold in over 99.4% of the pancreas. Even with a reduced number of transducers (13 pieces for both orientations), sufficient electric field coverage was achieved, exceeding the threshold in over 92.9% of the pancreas. Additionally, different array placements within the same orientation were explored to address clinical challenges such as skin rash and patient anatomical variations. This research lays the groundwork for understanding TTFields distribution within the abdomen, offering insights into optimizing array configurations for improved electric field delivery. The findings have the potential to guide practical designs of TTFields devices, enhance treatment efficacy, and improve patient outcomes. These results offer promises of advancing TTFields therapy for pancreatic cancer towards clinical applications, and potentially enhancing treatment efficacy and patient outcomes.

Experimental studies of H2/Ar plasma in a cylindrical inductive discharge with an expansion region

Abstract The electrical parameters of H2/Ar plasma in a cylindrical inductive discharge with an expansion region are investigated by a Langmuir probe, where Ar fractions range from 0% to 100%. The influence of gas composition and pressure on electron density, the effective electron temperature and the electron energy probability functions (EEPFs) at different spatial positions are present. In driver region, with the introduction of a small amount of Ar at 0.3 Pa, there is a rapid increase in electron density accompanied by a decrease in the effective electron temperature. Additionally, the shape of the EEPF transitions from a three-temperature distribution to a bi-Maxwellian distribution due to an increase in electron–electron collision. However, this phenomenon resulting from the changes in gas composition vanishes at 5 Pa due to the prior depletion of energetic electrons caused by the increase in pressure during hydrogen discharge. The EEPFs for the total energy in expansion region is coincident to these in the driver region at 0.3 Pa, as do the patterns of electron density variation between these two regions for differing Ar fractions. At 5 Pa, as the discharge transitions from H2 to Ar, the EEPFs evolved from a bi-Maxwellian distribution with pronounced low energy electrons to a Maxwellian distribution in expansion region. This evolve may be attributed to a reduction in molecular vibrational excitation reactions of electrons during transport and the transition from localized electron dynamics in hydrogen discharge to non-localized electron dynamics in argon discharge. In order to validate the experimental results, we use the COMSOL simulation software to calculate electrical parameters under the same conditions. The evolution and spatial distribution of the electrical parameters of the simulation results agree well with the trend of the experimental results.

Nonlinear simulations of GAEs in NSTX-U

A set of nonlinear simulations has been performed in order to study the nonlinear evolution of unstable global Alfvén eigenmodes in the National Spherical Torus Experiment-Upgrade (NSTX-U). Results of the single toroidal mode number, n, simulations are compared with a full nonlinear simulation (all toroidal harmonics included). In single-n simulations, the conservation of two integrals of motion of a particle in a cyclotron resonance with a monochromatic wave is demonstrated, resulting in a one-dimensional evolution of the particle distribution in (E,μ,pϕ) phase-space. Nonlinear simulations (both single-n and full nonlinear) show a significant redistribution of the resonant fast ions, especially in the pitch parameter. Thus, the changes in the resonant particle's parallel and perpendicular energies can be several times larger than the total particle energy change, with only a small fraction transferring into the excitation of the mode itself. This implies that even a relatively small amplitude mode can significantly modify the beam distribution in the resonant region. For the NSTX-U case considered, the single-n simulation results are close to full nonlinear simulation only for the most unstable mode, in which case the saturation amplitudes and changes in the fast ion distribution are comparable. In contrast, peak amplitudes of subdominant modes in all-n simulations are smaller by a factor of 3–10 compared to single-n runs due to the flattening of the beam ion distribution by the fastest growing mode.

Dynamics of a falling plate at low Reynolds numbers

Free-falling of objects in fluids is universal in nature and engineering. The falling styles of the falling object are affected by the properties of both the object and the fluid. Based on the assumption that the final state of a free-falling object at low Reynolds numbers is stable and equivalent to that of a fixed object with incoming flow, we utilize the results for the fixed plate to interpolate and obtain the state of the falling plate. It is found that the plate would exhibit multiple stable falling solutions. The number of stable falling solutions is dependent on the location of the gravity center of the plate. The distribution of the multi-solution region is affected by both Archimedes number (Ar) and the density ratio (m*). The results of the actual fall of the plate do not always agree with those obtained by the static interpolation method due to the fact that the fall of the plate is a dynamic process. We simulate the falling behaviors of plates whose center of gravity is located in the multi-solution region for different initial release angles θ0. According to the falling behaviors of the plate, there are four regions that are observed and denoted in the multi-solution region: (1) single stable region; (2) bistable region; (3) single stable and fluttering region; and (4) bistable and fluttering region. The effects of Ar,m*, and the dimensionless moment of inertia I* of the plate on the distribution of the four regions are evaluated.

Measurement principle and electric field analysis of tissue equivalent proportional counter

Abstract TEPC is the preferred device for measuring microdoses due to its excellent organizational equivalence and high energy response. The most important factor affecting its energy response is the electric field distribution in the avalanche region. This paper uses finite element analysis to examine the electric field distribution of a spherical structure with a sensitive area diameter of 2 cm and a cylindrical structure with a sensitive area of 2 cm × 2 cm. While the spherical structure exhibits better isotropy, it has significant distortions in the electric field at the anode wire end, making compensation optimization complex and hindering miniaturization. Cylindrical structures can compensate for the electric field by adding insulators at the anode wire end. When the insulator diameter is 3mm, the optimal protrusion length into the chamber is also 3mm. This lays the foundation for the miniaturization of TEPCs in subsequent research.

Formation of Methane Hazards During Underground Coal Production in the Longwall Area Ventilated by System Y

Abstract The article addresses a critical and timely issue: improving safety in underground coal mining. The primary objective of the paper was to develop a research methodology based on modelling studies to identify and assess the state of methane hazards during mining operations. To achieve this, structural modelling of the physical and chemical phenomena occurring in mining regions was conducted using Computational Fluid Dynamics. The core research was performed using the finite volume method on a real longwall exploitation site ventilated by a Y-system. This approach enabled the determination of methane and oxygen concentration distributions in the mining region and goafs, treated as a porous and permeable medium. Based on these findings, potential fire and/or methane explosion hazard zones were identified in the goaf. The model test results underwent a validation process, comparing them with actual measurements. The determined errors were within an acceptable range, confirming the accuracy of the developed model of the mining region and the phenomena within it. Furthermore, the model was used to predict the locations of zones at risk of fire and/or methane explosion in the goafs, particularly in areas with potentially increased gas emissions. The results clearly demonstrate the significant potential of using model studies to diagnose and forecast methane hazards in underground mining operations. Identifying these potential danger zones allows for the implementation of preventive measures to reduce the likelihood of dangerous incidents.

Numerical investigation of the number of excitation elements-dependent acoustic field characteristics of a histotripter

Abstract Histotripsy is an emerging ultrasound technology for disintegrating various soft tissues noninvasively and accureately. However, it is difficult to characterize the acoustic field of a histotripter using the existing measurement methods (i.e., hydrophones) because of the damage potential of bubble cavitation on the sensing element under such high irradiation power. In this work, according to a quantitative relationship between the acoustic pressure and ultrasonic focusing gain G, nonlinearity β, attenuation coefficient α, a numerical reconstruction method is proposed to accurately and reliably estimate the acoustic field of a histotripter. The k-Wave toolbox was used to calculate the acoustic field produced from identical sectors on a common concave surface by gradually increasing the number of excitation elements (i.e., up to 256 that cover the whole surface). The excitation frequency is 0.8 MHz, and the initial pressure at the transducer surface is 0.4 MPa. The focusing gains, peak positive and negative pressure, positive to negative peak acoustic pressure ratio, and harmonic distributions in the focal region under different numbers of excited elements were analysed. It is found that when about a quarter of the transducer surface is excited (64 elements), the nonlinear effect becomes obvious, resulting in significant peak pressures and harmonics. Furthermore, the relationship between the positive and negative pressure peaks (p + and p ¬) and the number of excited elements fits a quadratic curve function quite well (R = 0.999). Altogether, the proposed method can be applied to estimate the acoustic pressure at an extremely high intensity that exceeds the range of current measurement apparatus. Acoustic pressures using a low number of excited elements are measured first and then extrapolated to the full surface coverage using the built-in regression models. In the near future, the field calculation scheme for the therapeutic focused transducers with higher irradiation power and larger dimensions, as well as experimental work, will be done to further validate our model.

Study of integration processes in the pharmaceutical market in the context of the development of territorial pharmaceutical ecosystems

Introduction. The ecosystem approach to the organization of business processes in the pharmaceutical market meets the prevailing trends, so the growth index of e-commerce in the retail sector of medicines for 5 years amounted to 1.87. The market distribution sector of medicines in the Russian Federation is characterized by a shift in corporate governance towards marketing cooperation based on aggregation electronic trading platforms (AETPS). Development of territorial pharmaceutical ecosystems (TFE) As a new integrative tool for managing the pharmaceutical development – production – distribution cycle, in order to achieve the target model of PHARMA 2030 at the territorial level, it requires the development of regulatory mechanisms for managing the supply of medicines. Objective: characteristics of integration processes in the industrial, wholesale and retail sectors of the pharmaceutical market to assess the potential competitiveness of territorial pharmaceutical ecosystems. Material and methods. The primary data for the analysis were: volumes of wholesale commodity residues of medicines produced in the Ural Federal District (461 registration certificates; proprietary Price and Distribution Test data for 230 trade names of LP EMIS data 2021–2022; Alpharm data 2021–2022; Datainsight 2022. In the course of the study, a structural analysis of the pharmaceutical market, a functional analysis of participants in the pharmaceutical product chain, and a marketing analysis were carried out. Results. It was found that the dynamics of the AETP segment development corresponds to the outstripping growth of highly integrated platforms: the short-term growth index of 5-pl AETP (Uteca) is 164%, 4-pl (Eapteca) is 55%, 3pl-AETP (averaged) is 36.5%. The absence of formal mechanisms of regional protectionism for the sale of finished dosage forms of local manufacturers in the Ural Federal District has been revealed. We have obtained the results of evaluating the effect of ecosystem integration of certain types of pharmaceutical market participants. For manufacturers of medicinal products, it was determined that the median coefficient of penetration of the local assortment of medicinal products into the pharmaceutical market in the context of ATX groups of level 2 is 0.67, which indicates a significant diversification of the assortment portfolio and the possibility of its aggregation without a barrier of internal competition. In the wholesale drugs sector, the potential for saving margins on medicines has been identified when implementing the scenario of localization of supplies in production regions in low and medium-low price ranges (30 – 550 rubles/unit), varying between 53–67%. It was found that the median share of regional distribution in the Ural Federal District (in packages) is 20.72%. It has been established that the Ural Federal District is one of the leaders in terms of the share of omnichannel consumers in the pharmaceutical market (63%), which is a significant incentive for the integration of organizations in the retail sector of the pharmaceutical market into the ecosystem 5pl platform. Conclusion. Situational analysis of the morphology of cooperative interactions in the pharmaceutical market allowed us to identify the prerequisites for the formation of ecosystem-organized management structures in the pharmaceutical market system – territorial pharmaceutical ecosystems. We have systematized incentives for ecosystem determination of medicines supplies, and found that: an additional channel for the market distribution of the industrial range of medicicnes in the Urals is not associated with a barrier to internal competition of pharmaceutical plants; the inclusion of regional suppliers in TFE will allow to form additional competitiveness in the “buyer's market” in conditions of market dominance of federal suppliers; the omnichannel approach to the distribution of the retail range of TFE in pharmacy organizations has a high projected conversion rate. A detailed assessment of integration processes in certain sectors of the pharmaceutical market did not reveal critical barriers to the introduction of TFE.

Enhancing Chinese Pension Funds Development through ESG Investment Perspectives

In current China, where the pension funds system is facing enormous pressure, this article will explore the positive impact of incorporating ESG investments into the Chinese pension funds system on its future development. Through research on the current situation of China's pension system, it is found that there are problems such as uneven regional distribution, unbalanced development of the three pillars, high population pressure and funding gap, high investment return requirements, and limited investment channels. By studying the feasible experiences of top ESG investment companies and leading countries in development, it is concluded that ESG investment contributes to improving the return on investment and stability of pension funds, and can alleviate the existing problems in China's pension funds. Finally, it is summarized that the feasible experience of combining ESG investment with China's pension funds is to take the lead in policies first, combined with strict supervision, and pay attention to talent cultivation.

From consumption to context: assessing poverty and inequality across diverse socio-ecological systems in Ghana

Local social and ecological contexts influence the experience of poverty and inequality in a number of ways that include shaping livelihood opportunities and determining the available infrastructure, services and environmental resources, as well as people’s capacity to use them. The metrics used to define poverty and inequality function to guide local and international development policy but how these interact with the local ecological contexts is not well explored. We use a social-ecological systems (SES) lens to empirically examine how context relates to various measures of human well-being at a national scale in Ghana. Using a novel dataset constructed from the 100% Ghanian Census, we examine poverty and inequality at a fine population level across and within multiple dimensions of well-being. First, we describe how well-being varies within different Ghanian SES contexts. Second, we ask whether monetary consumption acts a good indicator for well-being across these contexts. Third, we examine measures of inequality in various metrics across SES types. We find consumption distributions differ across SES types and are markedly distinct from regional distributions based on political boundaries. Rates of improved well-being are positively correlated with consumption levels in all SES types, but correlations are weaker in less-developed contexts like, rangelands and wildlands. Finally, while consumption inequality is quite consistent across SES types, inequality in other measures of living standards (housing, water, sanitation, etc) increases dramatically in SES types as population density and infrastructural development decreases. We advocate that SES types should be recognized as distinct contexts in which actions to mitigate poverty and inequality should better incorporate the challenges unique to each.