Current Conditions Research Articles

Optimization of an inductor for electromagnetic levitation melting

Purpose The study aims to maximize the efficiency of the process under a given current condition by changing the geometry of the coil. This optimization is economically justified by reducing the cost of the process. Design/methodology/approach The paper presents the author’s optimization process for a case requiring long computational time. The presented optimization is based on a 3D simulation model of an electromagnetic levitation melting (ELM) inductor. Findings The result of the work is to find a suboptimal inductor geometry for ELM. Research limitations/implications To solve the presented problem, a procedure using an evolutionary algorithm was relied on. As for all global search algorithms, it is possible to find a local optimum instead of a global one. Practical implications The new inductor geometry for ELM, thanks to its higher process efficiency for its class of inductors, can lead to the reduction of the costs of the process by using this type of equipment. Originality/value The novelty of the article is a proprietary optimization algorithm and the use of an advanced 3D simulation model which was necessary due to the lack of symmetry of the ELM inductor.

Evaluation of trial reintroductions of two extinct in the wild reptile species on Christmas Island

AbstractConservation reintroductions play a vital role in the recovery of threatened species, and clear goals and objectives are essential for evaluating their effectiveness. In this study, we assessed short‐term success (<18 months) of trial reintroductions of the Extinct in the Wild blue‐tailed skink (Cryptoblepharus egeriae) and Lister's gecko (Lepidodactylus listeri) on Christmas Island. Our evaluation criteria focused on body condition, reproduction, habitat suitability, survival and population growth. In 2018 and 2019, 170 C. egeriae and 160 L. listeri were translocated from a local captive breeding facility to a 2600 m2 outdoor fenced enclosure designed to exclude a predatory snake. Despite body condition declining immediately following release for both species, it had improved by 6 months post‐release. We also detected successful reproduction in both species. Apparent survival was high for C. egeriae but low for L. listeri, and population growth was only evident in C. egeriae. We were unable to determine whether low survival of L. listeri in the release site was due to high post‐release dispersal (beyond the exclosure) or mortality. Both species selected habitats that contained high rock and log cover and avoided areas with low ground cover. Appropriate assessment criteria, as utilized in this study, enable objective and timely evaluations of reintroduction success, thereby facilitating the improvement and refinement of reintroduction protocols. Our study showed that C. egeriae can establish (in the short‐ to medium‐term) in a site from which a principal threat has been excluded and undergo rapid population growth, whereas under current conditions L. listeri cannot. However, we also demonstrate that such medium‐term success may not lead to long‐term success, as the rapid increase in C. egeriae population was reversed between 29 and 31 months after release because the barrier used to exclude an invasive predator, the wolf snake (Lycodon capucinus), was breached.

Assessment of Suitable Habitat of the Demoiselle Crane (Anthropoides virgo) in the Wake of Climate Change: A Study of Its Wintering Refugees in Pakistan

The inevitable impacts of climate change have reverberated across ecosystems and caused substantial global biodiversity loss. Climate-induced habitat loss has contributed to range shifts at both species and community levels. Given the importance of identifying suitable habitats for at-risk species, it is imperative to assess potential current and future distributions, and to understand influential environmental factors. Like many species, the Demoiselle crane is not immune to climatic pressures. Khyber Pakhtunkhwa and Balochistan provinces in Pakistan are known wintering grounds for this species. Given that Pakistan is among the top five countries facing devastating effects of climate change, this study sought to conduct species distribution modeling under climate change using data collected during 4 years of field surveys. We developed a Maximum Entropy distribution model to predict the current and projected future distribution of the species across the study area. Future habitat projections for 2050 and 2070 were carried out using two representative concentration pathways (RCP 4.5 and RCP 8.5) under three global circulation models, including HADGEM2-AO, BCC-CSM1-1, and CCSM4. The most influential factors shaping Demoiselle Crane habitat suitability included the temperature seasonality, annual mean temperature, terrain ruggedness index, and human population density, all of which contributed significantly to the suitability (81.3%). The model identified 35% of the study area as moderately suitable (134,068 km2) and highly suitable (27,911 km2) habitat for the species under current climatic conditions. Under changing climate scenarios, our model predicted a major loss of the species’ current suitable habitat, with shrinkage and shift towards western–central areas along the Pakistan–Afghanistan boarder. The RCP 8.5, which is the extreme climate change scenario, portrays particularly severe consequences, with habitat losses reaching 65% in 2050 and 85% in 2070. This comprehensive study provides useful insights into the Demoiselle Crane habitat’s current and future dynamics in Pakistan.

Phylogenetic diversity and regionalization in the temperate arid zone

AbstractAstragalus (Fabaceae) is astoundingly diverse in temperate, cold arid regions of Earth, positioning this group as a model clade for investigating the distribution of plant diversity in the face of environmental challenges. Here, we identify the spatial distribution of diversity and endemism in Astragalus using species distribution models for 752 species and a phylogenetic tree comprising 847 species. We integrated these to map centers of species richness (SR) and relative phylogenetic diversity (RPD) and used randomization approaches to investigate centers of endemism. We also used clustering methods to identify phylogenetic regionalizations. We then assembled predictor variables of current climate conditions to test environmental factors predicting these phylogenetic diversity results, especially temperature and precipitation seasonality. We find that SR centers are distributed globally at temperate middle latitudes in arid regions, but the Mediterranean Basin is the most important center of RPD. Endemism centers also occur globally, but Iran represents a key endemic area with a concentration of both paleo‐ and neoendemism. Phylogenetic regionalization recovered an east‐west gradient in Eurasia and an amphitropical disjunction across North and South America; American phyloregions are overall most closely related to east and central Asia. SR, RPD, and lineage turnover are driven mostly by precipitation and seasonality, but endemism is driven primarily by diurnal temperature variation. Endemism and regionalization results point to western Asia and especially Iran as a biogeographic gateway between Europe and Asia. RPD and endemism highlight the importance of temperature and drought stress in determining plant diversity and endemism centers.

Happiness and Emigration as A Challenge to Albanian University Youth: A National Level Case

Aim: The research article aims to analyse happiness as the primary indicator of the current emigration potential of university youth. The challenges of decision-making of Albanian university youth to emigrate tease out the social, political and economic factors as indicators to decrease the level of happiness in terms of personal (being happy with life in general, with life, with family life in the last four years) and in social perspective such as being happy with economic status and house/shelter, the level of satisfaction with current life (standards of living), and the level of trust (in political and governmental institutions; in people, friends and media), as the pushing factors to potential emigration of youth. Methods: To guarantee a national-level measurement of the university youth emigration potential, due to the mentioned indicators, the empirical data gained from the quantitative online survey research on the measurement of opinions of (N=1010) Albanian university youth, at the national level of (N=7) (all) public universities in Albania, in (N=13) departments on social sciences profile, analysed by the Statistical program IMB SPSS 26, in different statistical approach analysis, such as descriptive, frequency, cross-tabs and Kurtosis. Results: Many measurement indicators show that personal and social levels of happiness reflect on a ‘low level of subjective well-being, unsatisfaction subjective well-being and dissatisfaction with life and living conditions that decrease the level of trust and security for life, and proxy dimensions of emigration decision (intention and concrete plan to migrate) of university youth. Conclusion: The low satisfaction (with life and living conditions), and low trust in the state bodies and political institutions, due to the current, social, political and economic conditions, formed an elation among the variables, on the conclusion that happiness is the main push factor and a challenge for potential emigration of university youth as high skilled worker, in the next years.

The Potential of Absorbing Aerosols to Enhance Extreme Precipitation

AbstractUnderstanding the impact of various climate forcing agents, such as aerosols, on extreme precipitation is socially and scientifically vital. While anthropogenic absorbing aerosols influence Earth's energy balance and atmospheric convection, their role in extreme events remains unclear. This paper uses convective‐resolving radiative‐convective‐equilibrium simulations, with fixed solar radiation, to investigate the influence of absorbing aerosols on extreme precipitation comprehensively. Our findings reveal an underappreciated mechanism through which absorbing aerosols can, under certain conditions, strongly intensify extreme precipitation. Notably, we demonstrate that a mechanism previously reported for much warmer (hothouse) climates, where intense rainfall alternates with multi‐day dry spells, can operate under current realistic conditions due to absorbing aerosol influence. This mechanism operates when an aerosol perturbation shifts the lower tropospheric radiative heating rate to positive values, generating a strong inhibition layer. Our work highlights an additional potential effect of absorbing aerosols, with implications for climate change mitigation and disaster risk management.

Risk Assessment of Spodoptera exempta against Food Security: Estimating the Potential Global Overlapping Areas of Wheat, Maize, and Rice under Climate Change

Spodoptera exempta, known as the black armyworm, has been extensively documented as an invasive agricultural pest prevalent across various crop planting regions globally. However, the potential geographical distribution and the threat it poses to host crops of remains unknown at present. Therefore, we used an optimized MaxEnt model based on 841 occurrence records and 19 bioclimatic variables to predict the potential suitable areas of S. exempta under current and future climatic conditions, and the overlap with wheat, rice, and maize planting areas was assessed. The optimized model was highly reliable in predicting potential suitable areas for this pest. The results showed that high-risk distribution areas for S. exempta were mainly in developing countries, including Latin America, central South America, central Africa, and southern Asia. Moreover, for the three major global food crops, S. exempta posed the greatest risk to maize planting areas (510.78 × 104 km2), followed by rice and wheat planting areas. Under future climate scenarios, global warming will limit the distribution of S. exempta. Overall, S. exempta had the strongest effect on global maize production areas and the least on global wheat planting areas. Our study offers a scientific basis for global prevention of S. exempta and protection of agricultural crops.

Building A Simple Weather Forecast Application using Python Django

Weather forecasting plays a crucial role in various sectors such as agriculture, aviation, transportation, and disaster management. Accurate and timely weather predictions are essential for making informed decisions and mitigating potential risks. This project presents a comparative study of different Application Programming Interfaces (APIs) for weather data retrieval and their effectiveness in weather forecasting. The objective is to evaluate the performance, reliability, and accuracy of various APIs in providing weather information for accurate forecasting. This project presents the development of a sophisticated weather forecasting application using the Python Django framework. In response to the growing demand for accurate and accessible weather information, this application provides users with timely updates on current weather conditions, temperature variations, and detailed forecasts for the upcoming six hours. The application dynamically adapts its interface to reflect hourly changes in weather patterns, ensuring that users receive up-to-date and reliable information at all times. One of the key features of this application is its user-friendly interface, which allows users to conveniently search for weather data anytime and anywhere. Whether planning a trip, scheduling outdoor activities, or simply staying informed about local weather conditions, users can rely on this application to deliver precise and relevant information tailored to their needs. Furthermore, the application enhances user experience by providing comprehensive coverage of global weather data. Users can easily access weather information for any location worldwide, enabling them to plan travel itineraries, explore new destinations, and make informed decisions about their future holiday plans.

Microfluidic Electroporation Arrays for Investigating Electroporation-Induced Cellular Rupture Dynamics

Electroporation is pivotal in bioelectrochemistry for cellular manipulation, with prominent applications in drug delivery and cell membrane studies. A comprehensive understanding of pore generation requires an in-depth analysis of the critical pore size and the corresponding energy barrier at the onset of cell rupture. However, many studies have been limited to basic models such as artificial membranes or theoretical simulations. Challenging this paradigm, our study pioneers using a microfluidic electroporation chip array. This tool subjects live breast cancer cell species to a diverse spectrum of alternating current electric field conditions, driving electroporation-induced cell rupture. We conclusively determined the rupture voltages across varying applied voltage loading rates, enabling an unprecedented characterization of electric cell rupture dynamics encompassing critical pore radius and energy barrier. Further bolstering our investigation, we probed cells subjected to cholesterol depletion via methyl-β-cyclodextrin and revealed a strong correlation with electroporation. This work not only elucidates the dynamics of electric rupture in live cell membranes but also sets a robust foundation for future explorations into the mechanisms and energetics of live cell electroporation.

Establishing present‐day Sockeye Salmon (Oncorhynchus nerka|sćwin) spawning capacity in the highly impacted sq,awsitkʷ|Okanagan River to guide population conservation and restoration

AbstractThe presence of dams on the Columbia River (CR) has reduced Sockeye Salmon (Oncorhynchus nerka|sćwin) numbers to a fraction of their historic numbers. The Syilx Okanagan Nation Alliance (SONA) has led voices of concern regarding the impacts of diminishing Sockeye Salmon numbers on the ecosystem health of the sawsitkʷ|Okanagan River (s|OR), a tributary of the CR. In the early 2000s efforts commenced to rehabilitate the s|OR Sockeye population. These efforts have seen the population rise from a running average of 40,000 to 200,000. However, the contemporary spawning capacity of the s|OR is unknown, and this metric is critical to guide the conservation and restoration of this keystone species. We employed a spawning capacity model relating fish length and gravel size to spawning potential. We collected substrate data at 49 sites throughout our 37‐km study area, and used fish length and egg numbers from n = 269 Sockeye Salmon to establish s|OR specific fecundity metrics. The model estimated the s|OR has the capacity to support 147,687 (±33,346) Sockeye spawners, in its current condition. Whilst our model has limitations, we suggest a minimum escapement of 147,687 Sockeye spawners ought to be passed to the s|OR per annum. These fish will have broad ecosystem benefits and will be culturally beneficial to SONA peoples. Finally, continued restoration of s|OR habitat should enhance opportunities for Sockeye Salmon to continue their remarkable recovery.

The impact of changing climate on the spread of the widely expanding species Ambrosia artemisiifolia in Slovakia

AbstractThe invasion of common ragweed in Slovakia was analysed based on 1635 collected records. More than 70 years have passed since the first record was sampled in 1949. Since then, it has spread in two waves, first in the lowlands, next to farmland and human settlements, and later in the mountains, on the roadsides. In the present, it is probably expanded in half of the territory of Slovakia. It is changing habitat preferences and adapting to new environments. Using eleven environmental and geographical variables, the species distribution modelling was performed to obtain probability of occurrence in high resolution (30 s) in Slovakia. Four predictions were calculated based on two models. The first prediction was based on the first model trained on ragweed records before the start of the second expansion wave in 2000. The second prediction is based on the first model and predicts the present distribution according to current climatic conditions, which have changed in twenty years. The third prediction was based on the second model, trained on all 1635 collected records from 1949 to 2022. The fourth prediction based on the second model shows the potential distribution in 2040–2061. Comparing the predictions, the climatic changes explain current expansion of common ragweed in mountains since the air temperature is the main factor shaping distribution of common ragweed in Slovakia.

An assessment of the water footprint of the population and agricultural crops in the natura 2000 site ROSCI0434 siretul mijlociu, Romania

The designation of a Natura 2000 site ROSCI0434 Siretul Mijlociu for the protection of habitats and species, whose development is closely tied to the aquatic environment, signifies that the management of water resources, and implicitly, the water footprint, has contributed to maintaining a balanced and favorable status for biodiversity conservation. Given that the Natura 2000 site was declared based on older studies, and the Management Plan for the protected natural area was not yet developed, we are now conducting an assessment of the impact of the water footprint in the current climatic conditions. This includes considering other predominant types of agricultural crops and changes in food habits. This evaluation aims to understand the relationship between the water footprint and the conservation status of species and habitats in light of these new circumstances.The blue and grey water components of the water footprint are the ones that directly affect the natural protected area out of the three components of the water footprint: green, blue, and grey water. The ecological impact of water use in ROSCI0434 Siretul Mijlociu is extensive, affecting both terrestrial and aquatic ecosystems. Pollutants can harm habitats and species, while agricultural water usage alters habitats and disrupts hydrological patterns, impacting breeding and foraging grounds. Additionally, changes in water quantity and quality diminish ecosystem services like water purification and habitat provision, affecting biodiversity and human well-being.

The Development of Creative Potential as a Condition for the Formation of the Competitiveness of the Future Specialist

Relevance. New requirements for the training of students in higher educational institutions are that acquiring only specialized professional knowledge is no longer sufficient for a future competitive specialist. It is necessary to develop such individual abilities that significantly reveal his individuality and creative potential.Goal of the work. To determine pedagogical conditions that contribute to the development of the creative potential of future specialists as a factor in the formation of their competitiveness.Objectives of the research: Based on the analysis of psychological and pedagogical literature, to find out the essence and content of the basic concepts of the study “personal competitiveness,” creative potential”; to justify the pedagogical conditions for the development of the creative potential of future specialists in the sociocultural space of higher education.Methodology. During the scientific search, the following research methods were used: systemic, analysis, synthesis, induction, deduction, generalization, comparison.Results. Based on the analysis of scientific sources, the concept of individual competitiveness is defined as a necessary set of professional and personal qualities that contribute to the possession of competitive advantages in current sociocultural conditions. The pedagogical conditions for the development of creative potential are determined as conditions for the formation of the competitiveness of a future specialist.Conclusions. Preparation for identifying and developing creative potential is possible provided that a creative learning environment is created that stimulates students' creative activity and students' motivation for creative activity.

Understanding housing preferences and challenges of older adults in Kalisz, Poland

Purpose: This study aimed to identify the demographic, economic, and social factors that influence the housing demand of older adults in Kalisz, Poland, and assess their preferences and challenges in meeting their housing needs. Methodology: A quantitative survey was conducted among individuals aged 50 and above in Kalisz. The survey questionnaire covered various aspects, including current housing conditions, housing preferences, knowledge of senior housing options, and willingness to relocate to such housing. Data analysis involved descriptive statistics and correlation analysis. Results: The findings revealed that while most respondents were satisfied with their current housing situation, they acknowledged the need for housing options tailored to older adults. However, there was a lack of interest in relocating to designated senior housing due to concerns about affordability, accessibility, and amenities. Respondents expressed a preference for independent living arrangements with access to medical, care, and rehabilitation services. Theoretical contribution: The study contributes to the understanding of the housing needs and preferences of older adults in the context of a medium-sized city in Poland. It highlights the importance of considering demographic shifts and adapting housing policies and urban planning strategies to meet the diverse requirements of an aging population. Practical implications: The findings can inform policymakers, urban planners, and housing developers in designing and implementing housing solutions that cater to the specific needs of older adults, ensuring accessible, affordable, and supportive living environments. The study also emphasizes the need for public awareness and education regarding senior housing options.

Improving the Performance of Cooling and Entanglement in a Double Cavity Optomechanical System Assisted by the Quantum Coherent Feedback

AbstractA theoretical scheme is proposed for improving the performance of cooling and entanglement, where the physical model is based on a double cavity optomechanical system assisted by the field‐mediated coherent feedback. The cooling performance is evaluated by calculating the final mean phonon number. The steady‐state bipartite entanglement between the optical mode and mechanical mode is measured by the logarithmic negativity. The result manifests that with assistance of the quantum coherent feedback, the mechanical resonator (MR) can be cooled close to its quantum ground state and the steady‐state optomechanical entanglement is simultaneously created, all of which are obtained under the condition beyond the resolved sideband. The presented feedback strategy is measurement‐independent, which can effectively preserve the quantum coherence of system. The scheme is conducive to relaxing the current experimental condition and it may provide a new path for the optomechanical manipulation involving the low‐frequency MR.

Quantitative condition assessment method for rotating machinery using fuzzy neural network

Health condition assessment of rotating machinery has been a persistent challenge. Traditional condition assessment methods often rely on single features, limiting their application to comprehensively measure the health condition of rotating machinery. This study introduced a quantitative condition assessment method for rotating machinery using fuzzy neural network (FNN). Initially, multi-domain features of signals from rotating machinery are extracted to achieve comprehensive representation of signals in the feature space. To eliminate redundant information of various features, a feature dimensionality reduction method is explored based on variance variation and stacked auto-encoder. Afterward, a normalized health indicator is constructed by integrating the optimized features through FNN, and it can indicate the current conditions of rotating machinery. Furthermore, an early anomaly alarm strategy based on 3σ criterion is designed for rotating machinery. The abnormal signal will be recognized automatically when it exceeds the predetermined thresholds. Last, the effectiveness of the proposed method is validated on IMS bearing dataset and XJTU-SY bearing dataset. The results show that the proposed method can effectively obtain the quantitative indicators that reflect the operation conditions of rotating machinery and can accurately detect the early abnormal signals.

Vegetation Hydrodynamics To Inform Climate Mitigation And Adaptation

Coastal ecosystems, such as seagrass, provide many ecosystem services, including coastal protection and carbon sequestration, which make them an integral part of climate mitigation and adaptation (e.g., Fourqurean et al. 2012). Predicting the value of these ecosystem services requires an understanding of the interaction of fluid motion with vegetation. While seagrass meadows are recognized as global hotspots for carbon storage, the verification of seagrass carbon is complicated by significant heterogeneity. For example, Lavery et al. (2013) reported an 18-fold range in carbon stock across 17 different seagrass habitats (260 to 4800 g C m-2). This variability is a major source of uncertainty in assessing carbon stocks, motivating work to understand what drives it. Recent studies have highlighted how hydrodynamic conditions can be an important factor (e.g., Oreska et al. 2017, Novak et al, 2020). In this talk, we consider a combination of modeling and field measurement that explores the influence of wave and current conditions on carbon accretion in seagrass meadows.

Closed-Loop Transcranial Electrical Neurostimulation for Sustained Attention Enhancement: A Pilot Study towards Personalized Intervention Strategies

Sustained attention is pivotal for tasks like studying and working for which focus and low distractions are necessary for peak productivity. This study explores the effectiveness of adaptive transcranial direct current stimulation (tDCS) in either the frontal or parietal region to enhance sustained attention. The research involved ten healthy university students performing the Continuous Performance Task-AX (AX-CPT) while receiving either frontal or parietal tDCS. The study comprised three phases. First, we acquired the electroencephalography (EEG) signal to identify the most suitable metrics related to attention states. Among different spectral and complexity metrics computed on 3 s epochs of EEG, the Fuzzy Entropy and Multiscale Sample Entropy Index of frontal channels were selected. Secondly, we assessed how tDCS at a fixed 1.0 mA current affects attentional performance. Finally, a real-time experiment involving continuous metric monitoring allowed personalized dynamic optimization of the current amplitude and stimulation site (frontal or parietal). The findings reveal statistically significant improvements in mean accuracy (94.04 vs. 90.82%) and reaction times (262.93 vs. 302.03 ms) with the adaptive tDCS compared to a non-stimulation condition. Average reaction times were statistically shorter during adaptive stimulation compared to a fixed current amplitude condition (262.93 vs. 283.56 ms), while mean accuracy stayed similar (94.04 vs. 93.36%, improvement not statistically significant). Despite the limited number of subjects, this work points out the promising potential of adaptive tDCS as a tailored treatment for enhancing sustained attention.

Factors involved in the remission of oral lichen planus treated with topical corticosteroids

AimTo determine the factors that affected the complete clinical remission of oral lichen planus (OLP) treated with topical corticosteroids.Material and methodsWe retrospectively evaluated the charts of patients diagnosed as OLP. Age, sex, current medical conditions, medications, type of OLP, Thongprasom score, pain level assessed by a numeric rating scale (NRS), Candida infection, topical steroid treatment preparation, duration of treatment until the first complete clinical remission, and follow-up duration were assessed as variables.ResultsIn total 100 patients, after complete remission, 22 patients reported a relapse within 1.5–45 months, with a mean of 15.6 ± 13.2 months. Age, duration, gingiva and vestibule area, hypertension, dyslipidemia, Thongprasom score, preparation and topical corticosteroid potency were factors affecting the remission. Multivariate logistic regression analysis revealed that the patients’ age and duration of treatment were significant factors after adjusted for age, sex, and independent factors with a P-value < 0.1 in the univariate analysis. The likelihood of having incomplete remission of the OLP lesion increased by 7.9% for every year increase in age and increased by 2.3% for every month of treatment.ConclusionsThere are many different factors between the complete remission and incomplete remission groups. However, age and duration of treatment were significant factors affecting the remission of OLP.

Hydrological Analysis of Agricultural Reservoir Watersheds Based on Water Utilization System Using the Catchment Hydrology Cycle Analysis Tool Model

In this study, the catchment hydrology cycle analysis tool (CAT) model was used to conduct a comprehensive hydrological analysis of the water balance of agricultural reservoirs. Data from 2010 to 2017, including precipitation, water level data in the reservoir, groundwater usage, and wastewater discharge, were collected and compiled for the upper reaches of the Hantan River Dam. The current conditions and content curves of the 11 reservoirs within the watershed were investigated and recorded. The results were analyzed by simulating three scenarios: treating the entire watershed as 1 unit, dividing the watershed into 5 sub-watersheds according to the standard watershed criteria, and further subdividing it into 27 watersheds, taking into account the presence of agricultural reservoirs. In cases where watershed information is lacking, it is deemed that subdividing the watershed can enhance efficiency. The highest model efficiency was observed in the 27 sub-basins, particularly when accounting for agricultural reservoirs. This study proposed an efficient method for hydrological analysis of watersheds including ungauged areas.