Stable Environment Research Articles

Commercial Soyabean Farming and Household Livelihoods in Kole District northern Uganda, a critical analysis of Farmers Cooperative Society

This paper presents the relationship between commercial soyabean farming and household livelihoods of members of Alito Joint Christian Farmers’ Cooperative Society Limited (AJCFSL) in Kole district, Uganda. We used mixed method approach and generated quantitative and qualitative data from registered members of AJCFSL. We sampled 155 respondents out of 259 using simple random technique and purposive sampling techniques and collected data using questionnaires and interview guide. The findings reveal that the number of acres cultivated by soyabean farmers (p<0.01, β= 0.637) is significant in predicting household food security, income, provision of basic needs and responding to emergencies. However, owning storage facilities by farming households is least significant in explaining the contribution of soyabean farming to household livelihood elements (p<0.01, β= 0.216). The study concludes that planting soya bean on more acres strongly enhance family stability. The study recommends the introduction of easy means of acquiring land titles by farmers; and the introduction of subsidized tractor-hire services to boost production of soya bean and achieve a stable family environment. Further research can be considered with a view of analyzing the relationship between commercial soya bean farming and the financial, human, and physical capitals of farmers in Kole district

Recovery of fluoride from wastewater in the form of cryolite granules by fluidized-bed homogeneous crystallization process

Aquatic ecosystems are harmed by high fluoride levels, which can disturb the equilibrium of water, plants, and animals and reduce biodiversity. Fluoride contamination in water sources can pose health risks and it is crucial to remove fluoride to prevent adverse effects on the environment and public health. Green technology is employed to recover fluoride from simulated fluoride-rich wastewater. The fluidized bed homogeneous crystallization (FBHC) process is an advanced methodology that removes contaminants from wastewater through supersaturation to recover nontoxic granules that can be used for other purposes. This study compared the fluoride recovery between batch crystallization and the FBHC process in terms of the molar ratio (MR) of [F−]:[Al3+] between [1] and [3] and the pH influence on the recovery and crystallization. The concentration of [Al3+] was varied at 37, 74, and 111 mM, along with the influent flow rates of 4, 8, and 12 mL·min−1. FBHC systems offer improved control of pH levels, creating a stable environment for crystallization. Unlike batch systems, these continuous operating systems are more resilient to pH fluctuations due to efficient mixing, maintaining a consistent pH throughout the process. Using Box-Behnken Design (BBD) for the FBHC, optimal conditions were 74 mM initial [Al] concentration, MR of [F−]:[Al3+] of [2]:[1], and 8 mL·min−1 influent flow rate resulted in 93 % fluoride removal (FR) and 91 % crystallization ratio (CR). XRD and SEM-EDS data showed similarities between the peaks and compositions of cryolite (Na3AlF6). FBHC was able to produce granules based on the reaction mechanism in the synthesis of cryolite.

Maternal risk-management elucidates the evolution of reproductive adaptations in sharks by means of natural selection

Maternal investment theory is the study of how breeding females allocate resources between offspring size and brood size to achieve reproductive success. In classical trade-off models, r/K-selection and bet-hedging selection, the primary predictors of maternal investments in offspring are population density and resource stability. In crowded, stable environments, K-selected females invest in large offspring at an equivalent cost in brood size. In uncrowded, unstable environments, r-selected females invest in large broods at an equivalent cost in offspring size. In unpredictable resource environments, bet-hedging females invest moderately in brood size and offspring size. The maternal risk-management model represents a profound departure from classical trade-off models. Maternal investments in offspring size, brood size, and brood number are shaped independently by autonomous risk factors: the duration of gaps in resources during seasonal cycles, rates of predation, and unpredictable catastrophic events. To date, no single model has risen to a position of preeminence. Here in sharks, we show that maternal investments within and across species do not agree with the predictions of trade-off models and instead agree with the predictions of the maternal risk-management model. Within and across shark species, offspring size and brood size were independent maternal investment strategies. The risk of starvation favored investments in larger offspring. The risk of predation favored investments in larger broods. If empirical studies continue to confirm its predictions, maternal-risk management may yet emerge as a unifying model of diverse reproductive adaptations by means of natural selection.

Hierarchical heterojunction comprising of in-situ derived TiO2 and salicylaldimine-supported Co catalysts in metal-organic frameworks for enhancing photocatalytic hydrogen generation

We present the design of a novel functional metal-organic framework here, denoted as Co-sal–NH2–MOF@TiO2, featuring the comprise of controllably in-situ grown TiO2 sheets from NH2-MOF(Ti) and [Co] catalytic sites stabilized by salicylaldimine moiety via site isolation for visible-light-driven hydrogen evolution from water. The hierarchical organization of TiO2 and Co catalyst within NH2-MOF (Ti) leads to outstanding photocatalytic performance, as evidenced by a H2 yield of 15,584 μmolg−1h−1 and turnover numbers (TON) reaching 5844 over 24 h. This catalyst also signifies distinctly enhanced activities of approximately 105-fold, 354-fold, 15-fold, and 100-fold, compared to the pristine NH2-MOF(Ti), MOF-derived TiO2, NH2-MOF(Ti)@TiO2 and the combination of [Co catalyst + NH2-MOF(Ti) + TiO2], respectively. EXAFs and XPS etc. analyses revealed a stable coordination environment for salicylaldimine-supported Co(II) catalytic unit, which integrated with in-situ grown TiO2 sheets can not only guarantee catalyst stability, but also generate much more densely packed light-harvesting heterojunction units and thus promote separation and transfer of photogenerated carriers between TiO2 and Co catalyst in NH2-MOF(Ti) under light through optimized band gap structure. This work outlines the in-situ construction of organic and inorganic hybrid heterojunction for H2 production from water.

Lateral Alveolar Ridge Augmentation with Autogenous Tooth Roots and Staged Implant Placement-5-Year Follow-Up Case Series.

Background/Objectives: Alveolar bone augmentation before implant placement is a safe and effective treatment option for the reconstruction of a deficient alveolar ridge. According to recent research, permanent teeth have been used as bone graft materials, with studies confirming their clinical and histological results. This study aimed to evaluate the efficacy of alveolar ridge augmentation with autogenous tooth roots and staged implant placement, and peri-implant tissue stability in augmented sites. Methods: A total of 20 augmentations with autogenous tooth roots on mandibular alveolar ridges in 15 patients were performed. After 6 months, the ridge width (RWa) and ridge width gain (RWg) were measured. Titanium dental implants were placed in grafted sites and loaded 10 weeks after placement. Clinical parameters (bleeding on probing-BOP; probing depth-PD; mucosal recession-MR; and clinical attachment level-CAL) were assessed 2 months (T1), 3 years (T2), and 5 years (T3) after implant loading. Results: The mean RWa was 6.71 ± 0.74 mm, and the RWg was 3.15 ± 0.54 mm, respectively. No statistically significant differences were observed for clinical parameters (BOP, PD, MR, and CAL) among different time points (p > 0.05). Conclusions: Autogenous tooth roots represent a viable solution for alveolar ridge augmentation and implant placement, providing a stable environment for peri implant tissues.

Economic Policy Uncertainty and Firm Performance in Pakistan

The aim of this study is to examine the impact of economic policy uncertainty (EPU) on firm performance in Pakistan. Net profit margin (NPM) and ROE are taken as proxies for firm performance. Purposive sampling is used to collect quarterly data of 236 non-financial firms listed on Pakistan Stock Exchange (PSX) from Thomson Reuters Eikon database, as well as quarterly data on EPU and other economic indicators from World Bank database, to test the effect of EPU on firm performance in Pakistan. Using the random effects regression, we observe that economic policy uncertainty has a significant negative impact on the performance of firms in Pakistan. The results are robust in both the models with NPM and ROE as the proxies for firm performance. The findings are crucial for the firms as they need to find ways to deal with high levels of economic policy uncertainty, as well as for the policy makers that they can try to reduce the uncertainty to give a more stable economic environment to the firms operating in Pakistan.

Climate Regimes across the Habitable Zone: A Comparison of Synchronous Rocky M and K Dwarf Planets

M and K dwarf stars make up 86% of the stellar population and host many promising astronomical targets for detecting habitable climates in the near future. Of the two, M dwarfs currently offer greater observational advantages and are home to many of the most exciting observational discoveries in the last decade. But K dwarfs could offer even better prospects for detecting habitability by combining the advantages of a relatively dim stellar flux with a more stable stellar environment. Here we explore the climate regimes that are possible on Earth-like synchronous planets in M and K dwarf systems, and how they vary across the habitable zone. We focus on surface temperature patterns, water availability, and implications for habitability. We find that the risk of nightside cold trapping decreases with increased orbital radius and is overall lower for K dwarf planets. With reduced atmospheric shortwave absorption, K dwarf planets have higher dayside precipitation rates and less day-to-night moisture transport, resulting in lower nightside snow rates. These results imply a higher likelihood of detecting a planet with a moist dayside climate in a habitable “eyeball” climate regime orbiting a K dwarf star. We also show that “terminator habitability” can occur for both M and K dwarf land planets, but would likely be more prevalent in M dwarf systems. Planets in a terminator habitability regime tend to have slightly lower fractional habitability, but offer alternative advantages including instellation rates more comparable to Earth in regions that have temperatures amenable to life.

Operational risk management, financial sector stability and sustainable development in West Africa

Achieving sustainable development in West Africa is vital for integrating environmental, social and economic well-being in the region. This study examines the impact of operational risk management and financial sector’s stability on sustainable development in West Africa, focusing on countries that are members of the Economic Community of West African States (ECOWAS) from 2015 to 2022. Data from the World Development Indicators (WDI) and country Policy and Institutional Assessment (CPIA) were analyzed using the systems GMM to control for endogeneity. The study found conflicting results for financial sector stability’s impact on adjusted net savings and the sustainable development index. While financial sector stability had a negative effect on adjusted net savings, it had a positive impact on the sustainable development index. Additionally, environmental taxes were found to contribute to sustainable development by promoting efficiency and reducing carbon emissions. In conclusion, addressing operational risks, ensuring financial sector stability and promoting sustainable development can help achieve SDGs 8, 9, and 11, creating a stable, inclusive, and resilient economic environment conducive to long-term growth and sustainability in West Africa.

Interface-stabilized high-valent Sn enables efficient CO2 electroreduction to formate/formic acid across the full pH range

The electrocatalytic synthesis of formate/formic acid (HCOO−/HCOOH) from CO2 can mitigate environmental issues and provide high-value-added products. Although tin oxide is an excellent catalyst for HCOO−/HCOOH production, it is easily reduced to its metallic state at high potentials, which decreases its activity. Additionally, tin oxide is challenging to stabilize in acidic electrolytes. Here, we introduced Cu to tin oxide catalysts to form Cu6Sn5@SnOx during the CO2 electroreduction process (CO2RR), achieving a high HCOO−/HCOOH Faradaic efficiency (88.4 % at 800 mA cm−2 in 1 M KOH electrolyte, 87.8 % at 300 mA cm−2 in 0.1 M H2SO4 electrolyte containing 1 M K+) and a maximum HCOO− partial current density (757.5 mA cm−2). The in situ spectroscopy and DFT calculations results revealed that the SnOx/Cu6Sn5 alloy interface plays a crucial role in stabilizing the surface high-valent Sn, which provides a thermodynamically stable environment for adsorbed *OCHO intermediate. This discovery offers new insights into the roles of each component in bimetallic catalysts in CO2 reduction.

Integration of shoot-derived polypeptide signals by root TGA transcription factors is essential for survival under fluctuating nitrogen environments

Unlike plants in the field, which experience significant temporal fluctuations in environmental conditions, plants in the laboratory are typically grown in controlled, stable environments. Therefore, signaling pathways evolved for survival in fluctuating environments often remain functionally latent in laboratory settings. Here, we show that TGA1 and TGA4 act as hub transcription factors through which the expression of genes involved in high-affinity nitrate uptake are regulated in response to shoot-derived phloem mobile polypeptides, CEP DOWNSTREAM 1 (CEPD1), CEPD2 and CEPD-like 2 (CEPDL2) as nitrogen (N) deficiency signals, and Glutaredoxin S1 (GrxS1) to GrxS8 as N sufficiency signals. CEPD1/2/CEPDL2 and GrxS1-S8 competitively bind to TGA1/4 in roots, with the former acting as transcription coactivators that enhance the uptake of nitrate, while the latter function as corepressor complexes together with TOPLESS (TPL), TPL-related 1 (TPR1) and TPR4 to limit nitrate uptake. Arabidopsis plants deficient in TGA1/4 maintain basal nitrate uptake and exhibit growth similar to wild-type plants in a stable N environment, but are impaired in regulation of nitrate acquisition in response to shoot N demand, leading to defective growth under fluctuating N environments where rhizosphere nitrate ions switch periodically between deficient and sufficient states. TGA1/4 are crucial transcription factors that enable plants to survive under fluctuating and challenging N environmental conditions.

Life history strategies predict responses of lacustrine fish communities to eutrophication

The demographic traits of an organism are key components of its fitness and life history theory aims at identifying the environmental drivers underlying the evolution of life history strategies. For fishes, the equilibrium species, those investing into larval survival (large eggs, parental care) rather than into absolute fecundity, are hypothesized to have evolved in stable and predictable environments with high biotic pressure. Human induced nutrient enrichment in many lakes around the world makes them increasingly subjected to perturbations such as anoxia and toxic algal blooms. We hypothesized that eutrophication results in lakes becoming more unstable, unpredictable and less resource-limited, in turn less favorable to equilibrium species. Another hypothesis states that lacustrine environment stability increases with ecosystem size. This study presents the first attempt to compare the two hypotheses in a group of 26 lakes. We found that the population abundance of equilibrium species was negatively related to increasing eutrophication. Long-lived and highly fecund periodic species responded more positively to eutrophication than short lived opportunistic species, with no parental care. This result could be demonstrated by seasonality in primary productivity which favors periodic species, disconnection from the river which prevents good colonist (i.e., opportunistic) species to (re)-establish after perturbation events, and predation by periodic species on opportunistic species. In contrast, we found no support for the ecosystem size hypothesis. Overall, we showed that human driven eutrophication affected species according to their life history strategies, reinforcing the usefulness of life history theory as a framework for assessing fish community response to a large array of human perturbations. More generally, our study emphasizes the importance of species traits to assess, explain, and predict community responses to human and natural perturbations.

Good practice with fluid management in operative hysteroscopy.

Hysteroscopic surgery requires a balance of continuous controlled irrigation and aspiration to distend the endometrial cavity to a degree that provides the clear and stable visual environment necessary for diagnostic and therapeutic procedures. Whereas the preferred distending solution should be isotonic and isonatremic, radiofrequency (RF) electrosurgery with monopolar instrumentation can only be performed with non-ionic (hyponatremic) solutions. Absorption of as little as 500 mL and certainly more than 1000 mL of non-ionic solutions can result in fluid overload and/or dilutional hyponatremia with potentially serious adverse effects under certain conditions and patient characteristics. Both hysteroscopic RF electrosurgery with bipolar instrumentation and electro-mechanical morcellation and aspiration systems use isotonic and isonatremic solutions. Depending on the clinical context, absorption of more than 1500 mL of isonatremic solutions can also result in serious adverse effects. Automated fluid management systems are preferred and recommended, and surgeons should aim to maintain the maximum allowable intravasation of distending media below 1000 and 1500 mL for non-ionic and ionic fluids, respectively.

Advanced 3D-Printed Potassium Ammonium Vanadate/rGO Aerogel Cathodes for Durable and High-Capacity Potassium-Ion Batteries.

A 3D-printed oxygen-vacancy-rich potassium ammonium vanadate/reduced graphene oxide (KNVOv/rGO) microlattice aerogel is designed for the cathode in high-performance K-ion batteries (KIBs). The 3D-printed KNVOv/rGO electrode with periodic submillimeter microchannels and interconnected printed filaments is composed of highly dispersed KNVOv nanobelts, wrinkled graphene nanoflakes, and abundant micropores. The well-defined 3D porous microlattice structure of the rGO backbone not only provides the interconnected conductive 3D network and the required mechanical robustness but also facilitates the penetration of the liquid electrolyte into inner active sites, consequently ensuring a stable electrochemical environment for K-ion intercalation/deintercalation within the KNVOv nanobelts. The 3D-printed KNVOv/rGO microlattice aerogel electrode has a high discharge capacity of 109.3 mAh g-1 with a capacity retention rate of 92.6% after 200 cycles at 50mA g-1 and maintains a discharge capacity of 75.8 mAh g-1 after 2000 cycles at 500mA g-1. The flexible pouch-type KIB battery consisting of the 3D-printed KNVOv/rGO has good mechanical durability and retains a high specific capacity under different forms of deformation such as bending and folding. The results provide valuable insights into the integration of advanced 3D-printed electrode materials into K-ion batteries and the design of flexible and wearable energy storage devices.

Cointegrating and causality relationship between exports and economic growth: case for Botswana

The study employed the Autoregressive Distributed Lag (ARDL) Bounds model to test for cointegration and the Toda and Yamamoto and Dolado and Lütkepohl (TYDL) model to examine the direction of causality between exports and economic growth for Botswana covering the period 1980 to 2021. Exports statistically positively affect economic growth both in the short-run and long-run and trade openness is detrimental to economic growth both in the short-run and long-run. Economic growth promotes exports both in the short-run and long-run. Economic growth granger causes exports and indirectly influences exports through trade openness and consumer price index. Furthermore, there exists bidirectional causality between economic growth and the consumer price index. The findings underscore the importance of maintaining a healthy and stable macroeconomic environment in Botswana. In addition, a well-rounded approach that considers both export-oriented industrialization and import substitution strategies remains essential for a robust economic growth trajectory.

Calcium-binding protein TgpCaBP regulates calcium storage of the zoonotic parasite Toxoplasma gondii.

Toxoplasma gondii, the causative parasite of toxoplasmosis, is an apicomplexan parasite that infects warm-blooded mammals. The ability of the calcium-binding proteins (CBPs) to transport large amounts of Ca2+ appears to be critical for the biological activity of T. gondii. However, the functions of some members of the CBP family have not yet been deciphered. Here, we characterized a putative CBP of T. gondii, TgpCaBP (TGME49_229480), which is composed of four EF-hand motifs with Ca2+-binding capability. TgpCaBP was localized in the cytosol and ER of T. gondii, and parasites lacking the TgpCaBP gene exhibited diminished abilities in cell invasion, intracellular growth, egress, and motility. These phenomena were due to the abnormalities in intracellular Ca2+ efflux and ER Ca2+ storage, and the reduction in motility was associated with a decrease in the discharge of secretory proteins. Therefore, we propose that TgpCaBP is a Ca2+ transporter and signaling molecule involved in Ca2+ regulation and parasitization in the hosts.IMPORTANCECa2+ signaling is essential in the development of T. gondii. In this study, we identified a calcium-binding protein in T. gondii, named TgpCaBP, which actively regulates intracellular Ca2+ levels in the parasite. Deletion of the gene coding for TgpCaBP caused serious deficits in the parasite's ability to maintain a stable intracellular calcium environment, which also impaired the secretory protein discharged from the parasite, and its capacity of gliding motility, cell invasion, intracellular growth, and egress from host cells. In summary, we have identified a novel calcium-binding protein, TgpCaBP, in the zoonotic parasite T. gondii, which is a potential therapeutic target for toxoplasmosis.

Policy uncertainty and non‐performing loans in Greece

AbstractBased on the growing interest in understanding the impact of uncertainty on various aspects of the economy, this study investigates the long‐run relationship between economic policy uncertainty (EPU), its components, unemployment, capital adequacy, liquidity risk, and non‐performing loans (NPLs) in Greece. Our findings indicate several key results: (1) There exists a negative, long‐term co‐integrating relationship between EPU and its components with financial stability. (2) Unemployment and capital adequacy also exert long‐term negative effects on financial stability. (3) These results hold robustly even after decomposing the total NPL ratio into mortgage, consumer, and business NPLs. (4) Consumer NPLs exhibit the slowest adjustment to long‐run equilibrium among the NPL sub‐categories, with mortgages presenting the fastest rate of adjustment. The findings underscore important policy implications: initiatives aimed at reducing fiscal and banking policy uncertainties and fostering a stable environment for businesses and households could effectively manage NPLs more efficiently, as uncertainty influences NPLs not only in the short run but also in the long run.

Research on the Impact of Lamprey's Sex Ratio on Ecosystems Based on the Lotka-Volterra Model

The aim of this study is to explore the impact of the population of the Lamprey on the ecosystem, particularly through the regulation of sex ratio, in order to provide effective strategies for environmental control. The study first improved the traditional Lotka Volterra model by introducing predator-prey relationships and environmental limiting factors. A Lotka Volterra predator environment model was established, and the stable environment of lampreys and their parasitic fish was simulated using this model. The results indicate that lower gender ratios (male population/overall population) can cause greater harm to the environment. The change in gender ratio can help control the food chain and may also exacerbate resource competition. Further integrating the relationship between gender ratio and growth rate into the Lotka Volterra predator environment model to form a gender Lotka Volterra predator environment model, the study found that a smaller gender ratio can lead to a decrease in ecological stability. When the gender ratio reaches a critical value, the ecosystem collapses. In addition, a dynamic ecosystem model was constructed for five species of organisms, including lampreys and parasites. Simulation results showed that reducing the sex ratio of lampreys can inhibit parasites and promote the prosperity of other organisms. The model has high robustness and stability. This study indicates that by regulating the sex ratio of lampreys, their impact on the ecosystem can be effectively controlled, providing a feasible environmental intervention strategy.

Design and experiment of a stereoscopic vision-based system for seeding depth consistency adjustment

The basic process of corn sowing includes seed selection, land preparation, fertilization, sowing, and soil compaction. Soil compaction is an important step in the sowing process, playing a crucial role in protecting the seeds, promoting germination and root development, and providing a stable growth environment for corn. Currently, mainstream soil compaction devices used in corn sowing employ non-active adjustment structures, which cannot regulate the amount of soil covering and the compaction force for individual seeds during the sowing process, making it difficult to ensure consistent sowing depth. To address these issues, this study investigates the soil compaction device on a corn planter and proposes a soil compaction device that utilizes a binocular structured light camera to detect the opening depth of the planter and flexibly adjust the soil covering and compaction force for each seed. Experimental evaluations of the device’s performance were also conducted. The design of the sowing depth consistency control system includes the selection and application of the design, motor, gearbox, binocular structured light camera, dust removal device, user interface, electric-driven soil compaction device, and control system. The experimental results showed that when the system detects a variation in trench depth of around 2 cm, the average response time of the system is 2.23 s with a standard deviation of 0.042 s. When the system detects a variation in trench depth of around 4 cm, the average response time of the system is 4.68 s with a standard deviation of 0.078 s. This suggests that the system’s response time fluctuates within 0.1 s, indicating good stability of the system. The average error of the planter’s opening depth, as measured by the binocular structured light camera, is approximately 6 mm, the success rate of detection can be maintained above 70 % under different trench depths. The dust removal device’s performance meets the requirements of the detection system. The research demonstrates that the sowing depth consistency control system developed in this study can accurately detect the planter’s opening depth during operation and adjust the soil covering, compaction force appropriately based on the depth information provided by the soil compaction device.

Which biofilm reactor is suitable for degradation of 2,4-dimethylphenol, focusing on bacteria, algae, or a combination of bacteria-algae?

Effectively treating phenolic substances is a crucial task in environmental protection. This study aims to determine whether bacterial-algae biofilm reactors offer superior treatment efficacy compared to traditional activated sludge and biofilm reactors. The average degradation ratios of 2,4-dimethylphenol (40, 70, 150, 300, and 230 mg/L) were found to be 98 %, 99 %, 92.1 %, 84.7 %, and 63.7 % respectively. The bacterial-algae biofilm demonstrates a higher tolerance to toxicity, assimilation ability, and efficacy recovery ability. The cell membrane of Chlorella in the bacteria-algae biofilm is not easily compromised, thus ensuring a stable pH environment. High concentrations of tightly bound extracellular polymers (TB-EPS) enhance the efficacy in treating toxic pollutants, promote the stable structure. Intact Chlorella, bacilli, and EPS were observed in bacterial-algal biofilm. The structural integrity of bacteria-algae consistently enhances its resistance to the inhibitory effects of high concentrations of phenolic compounds. Cloacibacterium, Comamonas, and Dyella were the main functional bacterial genera that facilitate the formation of bacterial-algal biofilms and the degradation of phenolic compounds. The dominant microalgal families include Aspergillaceae, Chlorellales, Chlorellaceae, and Scenedesmaceae have certain treatment effects on phenolic substances. Chlorellales and Chlorellaceae have the ability to convert NH4+-N. The Aspergillaceae is also capable of generating synergistic effects with Chlorellales, Chlorellaceae, and Scenedesmaceae, thereby establishing a stable bacterial-algal biofilm system.

Cross-Modality Medical Image Segmentation via Enhanced Feature Alignment and Cross Pseudo Supervision Learning.

Given the diversity of medical images, traditional image segmentation models face the issue of domain shift. Unsupervised domain adaptation (UDA) methods have emerged as a pivotal strategy for cross modality analysis. These methods typically utilize generative adversarial networks (GANs) for both image-level and feature-level domain adaptation through the transformation and reconstruction of images, assuming the features between domains are well-aligned. However, this assumption falters with significant gaps between different medical image modalities, such as MRI and CT. These gaps hinder the effective training of segmentation networks with cross-modality images and can lead to misleading training guidance and instability. To address these challenges, this paper introduces a novel approach comprising a cross-modality feature alignment sub-network and a cross pseudo supervised dual-stream segmentation sub-network. These components work together to bridge domain discrepancies more effectively and ensure a stable training environment. The feature alignment sub-network is designed for the bidirectional alignment of features between the source and target domains, incorporating a self-attention module to aid in learning structurally consistent and relevant information. The segmentation sub-network leverages an enhanced cross-pseudo-supervised loss to harmonize the output of the two segmentation networks, assessing pseudo-distances between domains to improve the pseudo-label quality and thus enhancing the overall learning efficiency of the framework. This method's success is demonstrated by notable advancements in segmentation precision across target domains for abdomen and brain tasks.