Changes In Conditions Research Articles

Половая структура поселений двустворчатого моллюска Macoma calcarea (Gmelin, 1791) в районах с разным гидрологическим режимом

The influence of changes in environmental conditions on the reproductive cycles of benthic organisms (sexual structure, size of puberty, stages of gonad maturity, oocyte size) of the bivalve mollusk Macoma calcarea in the western part of the Spitsbergen archipelago (Grenfjord Bay) and the eastern part of the Barents Sea (coastal archipelago) was studied New Earth). In a settlement of M. calcarea in the warmer waters of Grenfjord, intensive reproductive processes were observed. In this area, females reach sexual maturity with a shorter shell length than males and individuals from other areas of the Barents Sea; In terms of sex ratio, females dominate over males, and a large number of juveniles are noted. Females at the spawning stage were found only near Novaya Zemlya. The diameter of the oocytes varied from 30 to 200 µm depending on the stage of maturity. In the mollusks M. calcarea, the breeding season is extended in time in both study areas.

An Application of Mist Generator as a Way to Reduce Particulate Matter during High Concentration Episodes in Urban Forests

Previous conventional mist devices can induce a detrimental effect of leaf burn by intense, focused sunlight in summer. A mist generator is designed to prevent particulate matter (PM) damage to trees by combining mist with PM during high PM episodes. We measured changes in microclimate conditions and the concentration of PM before, during, and after mist spraying in urban parks (Yangjae Citizen Forest, YCF; Cheongdam Road Park, CRP) from May 6 to 8, 2020. PM changes in YCF and CRP were observed immediately after mist spraying and were found to return to the previous concentrations. Mist spraying had no significant effects on the meteorological traits of air temperature, humidity, and wind speed but had significant effects on the concentration of PMx and the ratio of PM during a short time. Also, the ratio of PMx was partially affected by mist spraying. During the morning rush hour and lunch, mist, high wind speed, and low relative humidity conditions were related to the increase in mist movement, resulting in increasing PM (2.5–10 μm) and the deposition of these PM. During the evening rush hour, high relative humidity and low wind speed affected PM concentrations more than mist. This prototype of mist spraying could effectively condense and deposit the PM during high PM episodes.

Литогеодинамическая эволюция внешней окраины североуральского палеошельфа Печорской плиты в позднем ордовике (бассейн р. Илыч, Северный Урал)

Upper Ordovician carbonate deposits in the Northern Urals are the most common in the Ilych River basin. At the same time, the sections drilled here, which are the objects of this study, have a fragmentary character and tectonic boundaries, which led to significantly different ideas about the age of some strata and, as a result, to the ambiguity of their sedimentation conditions. The lithological-facies, paleoecological and paleontological studies revealed that the section of the Upper Ordovician carbonate deposits in the Northern Urals was represented by two formations, the Bolshaya Kosya reef and four thickness covering three tiers of the International Stratigraphic Scale of the Upper Ordovician — Sandbian, Katian and Hirnantian. The analysis of the spatiotemporal relationships of 36 lithotypes isolated in these sediments showed that they were grouped into 10 paragenetic associations of rocks reflecting the change of sedimentation conditions from a deep-water ramp with the accumulation of terrigenous calcareous silts (Sandbian) to a carbonate shelf with a clearly defined brow and the formation of a reef shoal on it (Middle Katian) and further to a shallow ramp with the widespread development of erosion processes and the formation of sandbanks (Late Katian-Hirnantian).

Study of the Dynamic Adaptive Calculation Method for River Water Environmental Capacity

Controlling the total amount of river pollutant discharge is an important means of water resource protection and management, and it is also a necessary condition for ensuring the normal functioning of water areas. The total amount of pollutant discharge is closely related to the water environmental capacity (WEC). Shifting from the traditional method of calculating WEC to dynamic analyses and calculations, concerning practical applications, in this paper, a dynamic adaptive calculation method is proposed for the river WEC that considers the changes in adaptive demand and hydrological conditions. In this method, the dynamic WEC is represented by intervals based on dynamic changes in different spatial and temporal scales, various calculation methods, hydrological conditions, and parameters. According to the calculation results for the WEC, a variable interval was formed. Taking the Shaanxi section of the main stream of the Wei River as the research object, with the support of an integrated platform, the dynamic adaptive calculation of the WEC in the Shaanxi section of the Wei River was realized, and a corresponding simulation system was constructed. The verification results show that (1) the dynamic calculation of WEC can be realized by freely combining different model methods and calculation conditions; (2) the WEC is described using a variable interval, which has strong applicability and operability; and (3) the simulation system can quickly adapt to the changing needs of practical applications and provide managers with visual and credible decision support. The research results provide a theoretical basis for river water environment pollution prevention and environmental management decision-making and help in the high-quality development of the river basin.

In-line NIR coupled with machine learning to predict mechanical properties and dissolution profile of PLA-Aspirin

In the production of polymeric drug delivery devices, dissolution profile and mechanical properties of the drug loaded polymeric matrix are considered important Critical Quality Attributes (CQA) for quality assurance. However, currently the industry relies on offline testing methods which are destructive, slow, labour intensive, and costly. In this work, a real-time method for predicting these CQAs in a Hot Melt Extrusion (HME) process is explored using in-line NIR and temperature sensors together with Machine Learning (ML) algorithms. The mechanical and drug dissolution properties were found to vary significantly with changes in processing conditions, highlighting that real-time methods to accurately predict product properties are highly desirable for process monitoring and optimisation. Nonlinear ML methods including Random Forest (RF), K-Nearest Neighbours (KNN) and Recursive Feature Elimination with RF (RFE-RF) outperformed commonly used linear machine learning methods. For the prediction of tensile strength RFE-RF and KNN achieved R2 values 98% and 99%, respectively. For the prediction of drug dissolution, two time points were considered with drug release at t = 6 h as a measure of the extent of burst release, and t = 96 h as a measure of sustained release. KNN and RFE-RF achieved R2 values of 97% and 96%, respectively in predicting the drug release at t = 96 h. This work for the first time reports the prediction of drug dissolution and mechanical properties of drug loaded polymer product from in-line data collected during the HME process.

Changes in traffic carbon emissions with traffic conditions and their control strategies

Road traffic carbon dioxide emissions have a significant impact on the atmospheric environment, and changes in traffic conditions can affect these emissions; while changes in traffic state and traffic infarction can reflect traffic conditions, there are also differences in carbon dioxide emissions generated by vehicles operating on different fuels. Therefore, this paper sequentially determines quantitative indicators of traffic states and traffic infarction as well as macro control strategies to improve traffic carbon dioxide emissions. Furthermore, taking the confluence area as the object of analysis, the impact of traffic state and traffic infarction on carbon dioxide emissions is sequentially analysed with actual traffic flow data and statistical methods, and corresponding models are constructed. Meanwhile, based on the analysis results, mainline speed limit control strategies that consider the traffic state and traffic infarction, as well as the control strategy based on the combination of multiple fuel–vehicle combinations, are presented. The analysis results show that changes in both traffic states and traffic infarction can affect traffic carbon dioxide emissions from the mainline and the on-ramps, which can fundamentally affect traffic conditions. Moreover, total carbon dioxide emissions from a combination of gasoline and diesel minibuses decrease with an increase in the ratio of gasoline minibuses.

Influence of the shock wave-turbulence interaction on the swirl distortion in hypersonic inlet

This study uses the Large Eddy Simulation (LES) technique to conduct an exhaustive analysis of the flow characteristics within the Rectangular-to-Elliptical shape Transition (REST) inlet under Mach 6 conditions. It mainly focuses on investigating the influence of the shock wave-turbulence interaction on the swirl distortion at the inlet exit. At the design condition, characterized by 0° Attack and 0° Sideslip, the incident shock wave at the inlet lip undergoes multiple reflections within the boundary layer of the domain wall, culminating in the formation of turbulent structures. The first reflected shock wave has the highest energy, exerting a significant impact on the boundary layer and the exit swirl distortion. On the contrary, the energy of the incident shock wave is progressively reduced due to repeated reflections, which results in reducing the exit swirl distortion. Under off-design conditions, characterized by 6° Attack and 0° Sideslip as well as 6° Attack with 6° Sideslip, variations in the incoming flow make the incident shock wave move inward, decreasing the frequency of shock wave reflections and even significantly reducing the reflected shock waves under conditions of 6° Attack and 6° Sideslip. However, this results in significantly increasing the exit swirl angle and distortion intensity. The obtained results demonstrate that changes in the incoming flow conditions significantly affect the level of exit swirl distortion by modulating the shock wave-turbulence interaction, especially in terms of the positioning of the incident shock wave and the quantity of reflected shock waves. In addition, this paper studies the wall heat transfer coefficient of the inlet. The obtained results show that the interaction between shock waves and the boundary layer significantly affects the heat transfer coefficient. This study provides a foundation for the comprehension and prediction of the performance of hypersonic inlets across a spectrum of flight conditions, and for the guidance of the design and optimization of such inlets.

Navigating disturbances in developing countries: Resilience strategies for cross‐sector partnerships

AbstractThe world faces significant challenges, particularly in low‐income countries, where cross‐sector partnerships strive to create positive social change. Operating under severe uncertainty, these partnerships encounter various disturbances threatening their progress. Despite these challenges, our study explores the resilience strategies that these partnerships use to foster positive social change, an area previously underexplored. Our study uses a qualitative multiple‐case study of four cross‐sector partnerships in sub‐Saharan Africa. Specifically, we collected data via interviews, workshops, and archival sources and used thematic analysis to uncover key resilience strategies. Our findings reveal a cyclical process where, when facing disturbances, cross‐sector partnerships respond with resilience strategies that help them mitigate disruptions, adapt to changing conditions, and continue expanding their positive impact. In doing so, they drive positive social change through core activities within their socio‐ecological system. This research expands existing theories of organizational resilience by highlighting how cross‐sector partnerships in low‐income contexts can not only survive, but also expand their impact of positive social change, through resilience.

ANALYZING THE RELATIONSHIP AMONG CLINICAL SYMPTOMS, X-RAY RESULTS, AND CARTILAGE WEAR PATTERNS IN KNEE OSTEOARTHRITIS USING T2 MAPPING MRI

Objectives: Osteoarthritis (OA) is a condition that causes joint pain, varying degrees of functional limitations, and a decrease in overall quality of life. The purpose of this study was to examine the progression of cartilage degeneration in knees affected by symptomatic OA and determine its relationship with X-ray and T2 map MRI findings. Methods: This study was conducted at a Tertiary Care Teaching Institute in India and involved 40 patients. It was an observational type of study. For our assessment, we utilized the Western Ontario and McMaster University (WOMAC) osteoarthrosis index to evaluate function, quality of life, and joint pain. Medical imaging technique A standing AP view of the affected knee joint was taken using plain radiographs. Once the X-rays were obtained, they were graded using the Kellgren–Lawrence Classification, which ranges from 0 to 4 grades. Results: Out of the total patients, 6.0% were <40 years old, 21.2% were between 41 and 50 years old, 27.2% were between 51 and 60 years old, 39.3% were between 61 and 70 years old, and 6.0% were above 70 years old. In this study, there were 21 females (63.6%) and 12 males (36.4%). In this study, the researchers found that there was no distinction between the sides of the limb affected. Both the left and right sides were involved in 13 cases each, accounting for 39.39% of the total cases. In addition, 7 cases, or 21.21%, reported experiencing bilateral knee pain. Merchant grade reported that out of the knees examined, 17.5% had Grade 0, 45% had Grade 1, 27.5% had Grade 2, 10% had Grade 3, and none had Grade 4. Conclusion: The findings of this study suggest that T2 map MRI has the ability to accurately measure abnormal cartilage changes in conditions that affect the mechanical properties of the knee joint. It is crucial to have non-invasive methods that can assess early cartilage matrix changes. These methods are important for initiating early treatment, monitoring disease progression, planning operative procedures, and following up on operative cartilage repair.

THE INFLUENCE OF SOCIAL SUPPORT ON CAREER ADAPTABILITY IN FRESH GRADUATE IN PADANG CITY

This research aims to find out whether there is an influence of social support on career adaptability in fresh graduates in Padang City. Career adaptability itself is a person's readiness to complete predictable tasks and participate in work roles, as well as being able to master unexpected situations that may occur due to changes in work and working conditions. This research received 230 fresh graduate respondents, including 125 female respondents and 105 male respondents. The technique used to collect subjects was purposive sampling. This research uses a quantitative method where data is collected through distributing questionnaires. Data was collected from two scales, namely the career adaptability scale which consists of 22 items with a reliability coefficient of 0.847 and the social support scale which consists of 12 items with a reliability coefficient of 0.835. Data analysis was carried out using simple linear regression techniques. Based on data analysis using simple linear regression techniques, it was found that the correlation value was r = 847. From the output, the coefficient of determination (R Squere) was 0.717, the calculated F value was 578.824 with a significance level of 0.000 < 0.05. It can be concluded that social support has a positive influence. positive and significant impact on career adaptability of fresh graduates in Padang City.

Melt sensitivity of irreversible retreat of Pine Island Glacier

Abstract. In recent decades, glaciers in the Amundsen Sea Embayment in West Antarctica have made the largest contribution to mass loss from the entire Antarctic Ice Sheet. Glacier retreat and acceleration have led to concerns about the stability of the region and the effects of future climate change. Coastal thinning and near-synchronous increases in ice flux across neighbouring glaciers suggest that ocean-driven melting is one of the main drivers of mass imbalance. However, the response of individual glaciers to changes in ocean conditions varies according to their local geometry. One of the largest and fastest-flowing of these glaciers, Pine Island Glacier (PIG), underwent a retreat from a subglacial ridge in the 1940s following a period of unusually warm conditions. Despite subsequent cooler periods, the glacier failed to recover back to the ridge and continued retreating to its present-day position. Here, we use the ice-flow model Úa to investigate the sensitivity of this retreat to changes in basal melting. We show that a short period of increased basal melt was sufficient to force the glacier from its stable position on the ridge and undergo an irreversible retreat to the next topographic high. Once high melting begins upstream of the ridge, only near-zero melt rates can stop the retreat, indicating a possible hysteresis in the system. Our results suggest that unstable and irreversible responses to warm anomalies are possible and can lead to substantial changes in ice flux over relatively short periods of only a few decades.

СТРАТЕГІЧНИЙ АНАЛІЗ ПІДПРИЄМСТВА АГРАРНОГО СЕКТОРУ

With the development of the economy and constant changes in the external environment, it became more difficult for Ukrainian agricultural enterprises to conduct their activities, especially under the influence of two factors, namely the pandemic and the war. The Ukrainian economy, companies and population had not yet recovered from the consequences of COVID-19 when a full-scale invasion began, which forever changed the realities of both the agricultural sector and entrepreneurship. Global climate changes, international trade conditions, technological development and demographic changes were also important external factors, which created new challenges and opportunities for agricultural enterprises. In this context, there is a need to carry out their strategic analysis to determine competitiveness and develop effective development strategies. However, at the moment there is a need for a more detailed study of issues related to the analysis of internal and external factors, their interrelationship and influence on strategic decision-making in the agricultural sector. Thus, the problem that needs to be solved is the development of an integrated methodological approach for the strategic analysis of agricultural enterprises, which would take into account various aspects of their functioning and the impact of changes in the external environment. The article is devoted to a strategic analysis of the agricultural enterprise «Dekoplant». Based on the performed PEST and SWOT analyses, main threats, opportunities, strengths, and weaknesses of both the internal and external environments were identified. Among the identified threats and weaknesses are changes in trade policy conditions, national legislation, currency exchange rate fluctuations (USD and Euro), a weak development strategy, and ineffective marketing platforms. The opportunities and strengths encompass heightened quality and service level demands, high product quality, a diverse range of products, extensive experience, and a large customer base. The article highlights the significance of strategic analysis for efficient enterprise management and gaining competitive advantages. Additionally, top companies in Ukraine's agricultural sector were investigated to determine key industry trends and competitiveness. The analytical approach enables well-founded recommendations for optimizing the strategy of the «Dekoplant» enterprise considering the identified internal and external threats.

Reversible Interconversion between Ag2 and Ag6 Clusters and Their Responsive Optical Properties.

The exploration of structural interconversion in clusters triggered by external stimuli has attracted significant interest due to its potential to elucidate structure-property relationships of metal clusters. In this study, two types of silver clusters, Ag2 and Ag6, are synthesized. Interestingly, the clusters exhibit reversible transformations in response to changes in the solvent conditions. The structures and optical properties of these clusters are thoroughly characterized using techniques such as mass spectrometry, single-crystal X-ray diffraction, photoluminescence, and radioluminescence spectroscopy. While both Ag2 and Ag6 display excellent photoluminescence properties, Ag2 demonstrates superior performance in X-ray radioluminescence compared to Ag6. Flexible scintillator films fabricated from Ag2 clusters exhibit outstanding X-ray imaging capabilities, achieving a spatial resolution of 15.0 lp/mm and an impressive detection limit for an X-ray dose of 0.58 μGy s-1. This detection limit is nearly 10 times lower than the typical dose rate used in X-ray diagnostics (5.5 μGy s-1). This work introduces a novel approach for designing thiol-free silver clusters capable of solvent-dependent reversible interconversion, offering new insights into the development of silver clusters for advanced X-ray imaging applications.

Colloid chemical aspects of paper formation in the presence of nanofibrillated cellulose and cationic starch

A series of experimental tests were carried out to examine colloidal-scale consequences of optional-ly treating nanofibrillated cellulose (NFC) with cationic starches of different charge density and dosage (0.5% or 2.0% by weight), adding that material to a furnish prepared from 100% recycled copy paper, and then subjecting the mixture to very different levels of hydrodynamic shear. Tests included optical microscopy, sediment volume tests, sediment velocity tests, and “percent fines” assessment by means of a fiber quality analyzer (FQA). In addition, the zeta potential and charge demand of the studied materials were evaluated. Optical imaging revealed that cationic starch treatment of the NFC tended to agglomerate it into multiparticle clusters, which sometimes could be mostly redispersed by hydrodynamic shear. Subsequent addition of the starch-treated NFC to the default furnish resulted in much of the colloidal material becoming attached to fibers. Subsequent shearing of the mixtures was at least partly effective in separating the clusters of NFC from the fiber surface, resulting in essentially a two-component mixture. Multiparticle NFC clusters coexisted with the fiber suspension, sometimes attached and sometimes not, depending on the details of treatments. Sediment volume tests showed that systems containing cationic starch-treated NFC tended to have a higher density after settling in comparison to untreated NFC; these findings are consistent with the cationic starch acting as a stabilizer on the solid surfaces, allowing them to slide past each other during the settling process. Application of intense hydrodynamic shear tended to result in denser sediment. Results of tests with the sediment velocity measurement and the FQA percent fines assessment did not correlate well with changes in test conditions considered in this study.

Optimal initial duty for improved MPPT under change in irradiances and partial shading conditions

Abstract Solar photovoltaic cells are widely used in renewable energy power generation. The efficient operation of these photovoltaic (PV) system is based on maximum power point tracking (MPPT). Various MPPT methods have been proposed to increase the output of a PV system. But confusion arises when choosing the optimal MPPT algorithm and its parameters such as perturbation time and initial duty. This paper examines the optimal initial duty and perturbation time to improve the performance of conventional MPPT techniques under uniform shading and partial shading. During the change in irradiances, at the initial irradiance the Modified P&O tracked MPPT faster because the modified P&O had less settling time during changes in irradiance for different initial duty ratios. During partial shading conditions, the TCT generates more power than the S and SP topologies and modified P&O tracked the MPPT in less time. However, at the high duty ratio, the P&O and INC gave similar results, which were better than the modified P&O. It was also observed that the initial duty ratio (Di) in the MPPT algorithm had a negligible effect on TCT configuration under partial shading conditions. These findings help in various applications for PV systems.

Современные угрозы и обоснование изменений в регулировании экономической безопасности региона

The article considers the main approaches of the theory of economic security. The concepts of "ensuring economic security", "managing economic security", "regulating the economic security of the region" are studied. The impacts affecting the adaptive readiness of the regional economic security complex, reflected in the concepts of "threat", "risk", "factor", "challenge" are noted. The expediency of a multi-vector approach to the organization of regulatory impacts of state and municipal government bodies aimed at ensuring the economic security of the country's regions in the context of overcoming modern threats is determined. A thesis is formulated about the place of regulation of regional economic security as an integral link between the systemic federal level of national security and heterogeneous regions of the country. Using the example of Perm Krai, the dynamics of the main indicators of regional economic security and their relationship with similar indicators of the Volga Federal District and the Russian Federation are considered, and an assessment of existing trends is carried out. The analysis of the elaboration of regulatory and legal documents of the Perm Territory using the extrapolation method of processing official statistics information has established the insufficiency of the measures taken to improve strategic planning in the region in the context of taking into account changing factors and conditions of the external environment. Significant deviations of the achieved results in ensuring the economic security of the Perm Territory from the forecast values approved by the strategic planning documents have been revealed, in particular in achieving the planned indicators in the areas of industrial and environmental safety of the region. It is proposed to revise the content of regulatory documents with the corresponding budget and resource content for the timely adaptation of the region to modern threats and challenges. It is recommended to pay special attention to such areas of economic security of the Perm Territory as: technological sovereignty, investment security and environmental protection.

Untangling the complex web of avoidable nursing home-to-hospital transfers of residents with dementia.

Nursing home (NH) residents with Alzheimer's disease or related dementias (ADRD) are at high risk for hospital transfer. We aimed to (1) describe characteristics and predictors of avoidable transfer of residents with ADRD and (2) explore how "what matters" influences the decision to transfer. We applied an exploratory, mixed methods design using data collected as part of a Centers for Medicare and Medicaid Services demonstration project. Advanced practice registered nurses documented retrospective details about nursing home (NH)-to-hospital transfers (n=3687) from 16 NHs. NH residents with ADRD had 1.22 times higher odds of having an avoidable NH-to-hospital transfer (odds ratio=1.22; 95% confidence interval=1.03, 1.45). Factors contributing to avoidable transfers were age, stage of ADRD, what matters to the resident and their family, changes in condition, and resources available in the NH. These findings highlight the need for enhanced specificity in the discussion and documentation of resident and family preferences and continued investments in the NH workforce. This article reports on factors contributing to avoidable nursing home (NH)-to-hospital transfer of residents with Alzheimer's disease and related dementias (ADRD). The mixed methods design used in this study offers insight beyond what is possible using a single-method design. Using data collected from a Centers for Medicare and Medicaid Services demonstration project, advanced practice registered nurses documented retrospective details about NH-to-hospital transfers (n=3687) of residents. NH residents with ADRD were more likely to have an avoidable NH-to-hospital transfer. Factors contributing to avoidable transfers were age, stage of ADRD, what matters to the resident and their family, changes in condition, and resources available in the NH. These findings highlight the need for enhanced specificity in discussion and documentation of resident and family preferences and continued investments in the NH workforce.

All (economic) politics is local: Voting responses to localized price shocks during the great recession

AbstractThe connection between individual and macroeconomic conditions and voting behavior is well‐established. We contribute to the less resolved “spatial gap” in the literature that centers on how the localized economic conditions of where voters live influence their likelihood to vote. We test how space mediates the tension between voter mobilization and withdrawal in the face of economic shocks. We consider a scenario, the Great Recession, where economic shocks were quite localized and sudden, and compile an extensive dataset of all registered voters in the four‐county Tampa metropolitan area between 2006 and 2015. Using sales prices and property characteristics from the tax assessor rolls, we estimate a neighborhood‐level shock to housing values induced by the Great Recession. Results show that when we do not account for local neighborhood variation, the Great Recession is associated with a significant decrease in voter turnout. However, when we account for localized economic shocks, we find that residents in neighborhoods with negative price shocks were more likely to vote after the Recession, especially in non‐local elections. In addition, the propensity to vote increases with the size of the negative price shock. There is some evidence that variation at the neighborhood level matters more than voter‐level heterogeneity. The positive voting response is most profound in predominantly Black neighborhoods, and, to a lesser extent, in predominantly Hispanic and the lowest income neighborhoods. Increases in the propensity to vote are robust to models controlling for baseline economic vulnerabilities, such as localized unemployment, the weakness of the local housing market and exposure to sectors hit hardest by the Recession. The results indicate that dramatic and sudden changes in localized economic conditions can drive voting behavior, and in ways that are distinct from macroeconomic drivers. In addition, the housing asset channel appears to be a powerful one, which can induce significant voting responses at the national level apart from other localized economic drivers, especially among homeowners.

Current summer heat waves impair rainbow trout (Oncorhynchus mykiss) spermatogenesis: Implications for future fish farming management practices in South Europe

Freshwater environments provide different ecosystem services for human well-being, and are one of the most important natural sources of healthy animal protein. Climate change and extreme temperature events, among other factors, represent a growing concern for their sustainable use. In contrast to the research effort to elucidate how global warming affects these aquatic environments, few studies pay attention to the potential effects of heat waves, a current phenomenon with direct effects on contemporaneous organisms. Here, the potential effects of a single heat wave event on rainbow trout (Oncorhynchus mykiss) males, mimicking a recorded environmental event, have been evaluated by means of biometric, redox and stress response, plasma testosterone, histopathology and transcriptomic analyses. Environmental monitoring showed how, during the last 4 years, mean water temperature increased (2–4 °C; from April to October), heat wave duration progressively increased (from 15 to 100 days), and mean intensities ranged 1.7–3.8 °C with a maximum of 8.0 °C. An experimentally recreated heat wave lasting only 16 days, with mean and maximum intensities of 2.7 and 6.7 °C, induced a decrease in body weight and total antioxidant status, but increased blood plasma cortisol levels and redox enzyme activity. The induced heat wave decreased testosterone plasma levels and sperm quality, arrested spermatocyte type I and II differentiation and increased spermatozoa apoptosis. These effects were correlated with a differential expression of 1156 genes (116 up- and 1040 down-regulated genes) in exposed fish when compared to Control fish, reflecting an alteration in cell apoptosis and spermatozoa maturation processes. These results not only increase concern about current heat wave events, recreating a real scenario, but also unveil for the first time the particular molecular mechanisms of subsequent spermatogenesis disruption, opening new avenues for designing urgent and necessary strategies to mitigate the effects of extreme climate change conditions on freshwater aquaculture.

A Fuzzy Pure Pursuit for Autonomous UGVs Based on Model Predictive Control and Whole-Body Motion Control

In this paper, we propose an adaptive fuzzy pure pursuit trajectory tracking algorithm for autonomous unmanned ground vehicles (UGVs), addressing the challenges of accurate and stable navigation in complex environments. Traditional pure pursuit methods with fixed look-ahead distances struggle to maintain precision in dynamic and uneven terrains. Our approach uniquely integrates a fuzzy control algorithm that allows for real-time adjustments of the look-ahead distance based on environmental feedback, thereby enhancing tracking accuracy and smoothness. Additionally, we combine this with model predictive control (MPC) and whole-body motion control (WBC), where MPC forecasts future states and optimally adjusts control actions, while WBC ensures coordinated motion of the UGV, maintaining balance and stability, especially in rough terrains. This integration not only improves responsiveness to changing conditions but also enables dynamic balance adjustments during movement. The proposed algorithm was validated through simulations in Gazebo and real-world experiments on physical platforms. In real-world tests, our algorithm reduced the average trajectory tracking error by 45% and the standard deviation by nearly 50%, significantly improving stability and accuracy compared to traditional methods.