Physical Processes Research Articles

A Dually Certified Nurse Practitioner Role in a Housing First Location

This article sets forth the innovative model of a dually certified primary care/psychiatric mental health nurse practitioner (PC/PMHNP) and elucidates Peplau’s nursing roles (rather than her entire theory) as a foundational component of the treatment in people with complex conditions. The case example presented here describes the care of a person with substance use disorder and complex mental and physical disease processes by a PC/PMHNP in a clinic situated within a permanent supported housing community. Rooted in Peplau’s Theory of Interpersonal Relations, the PC/PMHNP is a key interdisciplinary team member in transforming needed treatment solutions for this challenging population

Exploring the Interplay between Calcium Oxalate Crystals and Renal Tubular Epithelial Cell Injury: Implications for the Formation and Prevention of Kidney Stones

Kidney stones are a prevalent and clinically significant disease that affects millions of individuals worldwide, which have emerged as a significant global public health concern. The majority of kidney stones are composed of calcium oxalate (CaOx). The mechanisms of stone formation and development are unclear, involving a complex interplay of physical and biochemical processes. The injury of tubular epithelial cells (TECs) represents a pivotal event in the pathogenesis of this condition, as it initiates oxidative stress and immune-inflammatory reactions. Macrophages play a pivotal role in the inflammatory process, interacting with a multitude of molecules and pathways, thereby influencing the stone formation. Furthermore, apoptosis and autophagy induce TECs injury and contribute to the pathogenesis of CaOx stones. The current treatment strategies mainly focus on the management of crystal-cell interactions and the protection of TECs, in conjunction with the application of antioxidants, anti-inflammatory agents, and inhibitors of apoptosis and autophagy. These strategies have demonstrated promising results. Future research will aim to modulate the immune-inflammatory response, offering hope for the effective prevention of stone recurrence.

Взаимосвязь инновационных и классических методик профессиональной направленности обучения физике в техническом вузе

The introduction of two forms of conducting a laboratory workshop in physics for students for engineering and technology studies in the sphere of marine heat and power engineering, electrical equipment and automation means is considered to the process of studying at the Federal State Budget Educational Institution of Higher Education “Astrakhan State Technical University”. The possibility of developing students' working skills in natural conditions with industrial devices and an engineering approach taking into account the multifactorial conditions of the experiment as an independent work in the framework of the workshop of technical creativity Applied Physics organized at the Department of General Engineering Disciplines and Ground Transport is shown. The formation of the professional orientation of interdisciplinary connections of students of the specialty Thermal Power Engineering and Heat Engineering is illustrated by the example of the development of the laboratory work Determination of the specific heat capacity of metals. The advantages of virtual laboratory work and the possibility of their use on the educational portal of the “Astrakhan State Technical University”, built on the Moodle virtual learning environment, are examined. An example of creating a virtual laboratory work Studying the law of conservation of momentum is considered. It is theoretically proved that the introduction of these types of work into the educational process in physics contributes to the optimally effective formation of general professional competencies and the professional orientation of students' education. The importance of introducing these types of laboratory work into the educational process of physics at the university for the development of students' analytical abilities, creativity and innovation, which is a prerequisite for studying of modern engineers in demand in the labor market in a rapidly changing world, is shown.

A Breakthrough Authentication Protocol for Fortifying IoT-Cloud Security

Abstract: Physical layer key generation, leveraging the reciprocity and randomness of wireless fading channels, has garnered significant research interest in recent years. While theoretical studies have demonstrated its potential to generate informationtheoretically secure keys, challenges remain in translating theory into practice. This paper provides an overview of the physical layer key generation process and discusses its practical challenges. Various passive and active attacks are analyzed and evaluated through numerical studies. A new key generation scheme using random probing signals and combining usergenerated randomness with channel randomness is introduced to counteract active attacks. Numerical results demonstrate that the proposed scheme achieves higher security strength than existing schemes using constant probing signals under active attacks. Secret-key generation relying on wireless channel reciprocity is an intriguing solution as it can be efficiently implemented at the physical layer of emerging wireless communication networks, while providing information-theoretic security guarantees. In this paper, we investigate and compare the secret-key capacity based on the sampling of the entire complex channel state information (CSI) or only its envelope, the received signal strength (RSS).

Quantum tunnelling and thermally driven transitions in a double-well potential at finite temperature

We explore dissipative quantum tunnelling, a phenomenon central to various physical and chemical processes, utilizing a model based on a double-well potential. This paper aims to bridge gaps in understanding the crossover from thermal activation to quantum tunnelling, a domain still shrouded in mystery despite extensive research. By numerically investigating a model derived from Caldeira–Leggett’s work on quantum Brownian motion, examining both Lindblad and stochastic Schrödinger dynamics, we offer new insights into the transition states in the crossover region. Contrary to a common belief that temperature strongly dampens all quantum effects, our findings reveal that under certain conditions temperature instead alters the nature of tunnelling from a deterministic and periodic process to a stochastic yet still very quantum phenomenon. This underscores the profound influence of quantum effects on transition rates and the critical role of temperature in modulating tunnelling behaviours. Additionally, we introduce a new model for quantum Brownian motion that takes Lindblad form and is formulated as a modification of the widely known model found in Breuer and Petruccione. In our approach, we remove the zero-temperature singularity resulting in a better description of low-temperature quantum Brownian motion near a potential minima. Despite these advancements, we recognize persistent challenges in accurately simulating the dynamics at extremely low temperatures for arbitrary potentials, particularly those that cannot be closely approximated locally by a quadratic function.

Katachi (形): Decoding the Imprints of Past Star Formation on Present-day Morphology in Galaxies with Interpretable CNNs* * https://github.com/juanpabloalfonzo/Katachi

The physical processes responsible for shaping how galaxies form and quench over time leave imprints on both the spatial (galaxy morphology) and temporal (star formation history; SFH) tracers that we use to study galaxies. While the morphology–SFR connection is well studied, the correlation with past star formation activity is not as well understood. To quantify this, we present Katachi (形), an interpretable convolutional neural network framework that learns the connection between the factors regulating star formation in galaxies on different spatial and temporal scales. Katachi is trained on 9904 galaxies at 0.02 < z < 0.1 in the SDSS-IV MaNGA DR17 sample to predict stellar mass (M *; root mean square error (RSME) 0.22 dex), current star formation rate (SFR; RMSE 0.31 dex), and half-mass time (t 50; RMSE 0.23 dex). This information allows us to reconstruct nonparametric SFHs for each galaxy from gri imaging alone. To quantify the morphological features informing the SFH predictions, we use SHAP (SHapley Additive exPlanations). We recover the expected trends of M * governed by the growth of galaxy bulges, as well as those of SFR correlating with spiral arms and other star-forming regions. We also find that the SHAP maps of D4000 are more complex than those of M * and SFR, and that morphology is correlated with t 50 even at fixed mass and SFR. Katachi serves as a scalable public framework to predict galaxy properties from large imaging surveys including Rubin, Roman, and Euclid, with large data sets of high signal-to-noise ratio imaging across limited photometric bands.

Numerical Analysis of Harmful Environmental Impact of Accidental Explosion at a Hydrogen Filling Station Environmental Impact of an Accident Hydrogen Explosion at a Gas Station

The purpose of this study is to evaluate numerically the consequences of a hydrogen-air mixture explosion at a vehicle hydrogen filling station. The physical process of the explosion, which takes place after the hydrogen gas release into the air due to the accidental destruction of a number of high-pressure storage cylinders, is considered. The blast pressure wave moves in all directions from the epicenter of the accident, gradually losing its intensity and having a negative shock impact on the service personnel of the filling station and the structures of the surrounding buildings. The scale of the accident depends on the number of destroyed cylinders, which determines the size of the hydrogen-air cloud and the power of the explosion. The degree of negative consequences for the environment depends on the maximum overpressure in the blast wave front. Numerical obtaining of spatial pressure distributions in the area of the accident based on a hydrogen explosion mathematical modeling makes it possible to separate zones that are dangerous to human health and building structures strength. The direct problem of gas dynamics of combustion products of a hemispherical cloud of a stoichiometric hydrogen-air mixture in the surface layer of the atmosphere is considered. The mathematical model of an instantaneous hydrogen explosion takes into account the three-dimensional and non-stationary nature of the propagation of the explosion wave, the compressibility of the gas flow, the complex terrain, the shape and initial concentration of the cloud of hydrogen combustion products, and their thermodynamic parameters. The model makes it possible to obtain three-dimensional fields of maximum overpressure, which are the basis for deterministic assessment of the consequences of an accident for human health and the integrity of structures in the area of the explosion. The presented computer technology allows security experts to identify potential dangerous zones by means of mathematical modeling, recommend effective protective measures to mitigate or even eliminate the negative consequences of the blast wave environmental impact.

Data-driven modeling techniques for prediction of settled water turbidity in drinking water treatment

Drinking water treatment is a complex system of chemical, physical, and biological processes that is highly dependent on water quality and the design of the treatment process. To create decision-support tools, the prediction of key performance indicators, such as settled water turbidity, is needed. A variety of data-driven modeling techniques is available to formulate such predictions. Data-driven models provide valuable tools for formulating predictions where there is a lack of mechanistic models or the mechanisms are not fully understood, as in surface water treatment. The objective of this paper is to evaluate and compare the effectiveness of various data-driven techniques for this important, but difficult, problem. Recognizing that the size and quality of the dataset are most critical in this kind of analysis, this work uses one of the largest datasets used in this context consisting of 2,527 vectors of water quality and operational data (2,527 X nine data frame) from a full-scale water treatment plant. The paper constructs and compares the performance of the several data-driven models including k-nearest neighbor (KNN) regression, polynomial regression, and artificial neural networks (ANN). Based on test scaled root mean square error (RMSE), the ANN model was the most predictive (0.124). Similarly, the ANN model had the best predictive performance based on total scaled RMSE (0.086). These results show that ANNs have a high potential for the development of a future decision support system in selecting appropriate coagulant doses based on settled water turbidity.

Reliability for music-induced heart rate synchronization

Common inputs synchronize various biological systems, including human physical and cognitive processes. This mechanism potentially explains collective human emotions in theater as unintentional behavioral synchronization. However, the inter-subject correlation of physiological signals among individuals is small. Based on findings on the common-input synchronization of nonlinear systems, we hypothesized that individual differences in perceptual and cognitive systems reduce the reliability of physiological responses to aesthetic stimuli and, thus, disturb synchronization. We tested this by comparing the inter- and intra-subject Pearson’s correlation coefficients and nonlinear phase synchronization, calculated using instantaneous heart rate data measured while appreciating music. The results demonstrated that inter-subject correlations were consistently lower than intra-subject correlations, regardless of participants’ music preferences and daily moods. Further, music-induced heart rate synchronization depends on the reliability of physiological responses to musical pieces rather than mood or motivation. This study lays the foundation for future empirical research on collective emotions in theater.

Characterizing dissolved inorganic and organic nutrients in the oligotrophic Kuroshio Current off eastern Taiwan during warm seasons

This study conducted sensitive and precise analyses of dissolved organic nitrogen (DON) and dissolved organic phosphorus (DOP) concentrations and trace concentrations of nitrate and nitrite (N+N) and soluble reactive phosphorus (SRP) in seawater. The methods were applied to investigate the distributions and controls of N+N, SRP, DON, and DOP in the oligotrophic Kuroshio Current (KC) area off eastern Taiwan during warm seasons. The water in the studied area was classified into four major types: typical Kuroshio water (KW), KW influenced by the East China Sea water, KC influenced by the South China Sea (SCS) water, and KW influenced by the SCS water and river plumes, which is confined to the coastal zone. Nutrient distributions in KC revealed very low N+N (0.002−0.40 μM) and SRP (0.015−0.125 μM) concentrations but high DON (&amp;lt;8 μM) and DOP (&amp;lt;0.3 μM) concentrations above the nutricline depth, which accounted for &amp;gt;80% of TDN and TDP, respectively; theses concentrations can primarily be attributed to strong, permanent surface stratification. Among the water types, KW had the lowest N+N, SRP, DON, and DOP concentrations but greatest chlorophyll maximum depth and nutricline depth, except for in locations influenced by island-induced upwelling. The concentrations of all nutrients increased by various degrees in the other water types, which was attributed to the exchange and mixing of different water masses and coastal uplift of subsurface waters. KW was not only highly oligotrophic but also N+N-limited reflected from very low [N+N]/[SRP] ratio (0.02−0.15) in the mixed layer (ML). Overall, the N+N limitation and high nitrate anomaly value (N*: 2.47 ± 0.16 μM) above the nutricline depth strongly indicate prevailing N2 fixation at the surface of KW. Very high DON/DOP ratio in KW (16.9−69.1) probably resulted from the release of N-rich organic nutrients from phytoplankton including N2 fixers at the surface and faster recycling of DOP than DON in deep waters. Persistent coastal uplift of subsurface water occurs everywhere over the shore-side region of the KC, resulting in increasing surface concentrations of nutrients and chlorophyll a. Overall, the aforementioned physical and biogeochemical processes determined the upper-ocean distributions of nutrient species in warm seasons.

Study on the Robustness of an Atmospheric Scattering Model under Single Transmittance

When light propagates in a scattering medium such as haze, it is partially scattered and absorbed, resulting in a decrease in the intensity of the light emitted by the imaging target and an increase in the intensity of the scattered light. This phenomenon leads to a significant reduction in the quality of images taken in hazy environments. To describe the physical process of image degradation in haze, the atmospheric scattering model is proposed. However, the accuracy of the model applied to the usual fog image restoration is affected by many factors. In general, fog images, atmospheric light, and haze transmittances vary spatially, which makes it difficult to calculate the influence of the accuracy of parameters in the model on the recovery accuracy. In this paper, the atmospheric scattering model was applied to the restoration of hazed images with a single transmittance. We acquired hazed images with a single transmittance from 0.05 to 1 using indoor experiments. The dehazing stability of the atmospheric scattering model was investigated by adjusting the atmospheric light and transmittance parameters. For each transmittance, the relative recovery accuracy of atmospheric light and transmittance were calculated when they deviated from the optimal value of 0.1, respectively. The maximum parameter estimation deviations allowed us to obtain the best recovery accuracies of 90%, 80%, and 70%.

Magnetohydrodynamics simulation of magnetic reconnection process based on the laser-driven Helmholtz capacitor-coil targets

Magnetic reconnection is an important rapid energy release mechanism in astrophysics. Magnetic energy can be effectively converted into plasma kinetic energy, thermal energy, and radiation energy. This study is based on the magnetohydrodynamics simulation method and utilizes the FLASH code to investigate the laser-driven magnetic reconnection physical process of the Helmholtz capacitor-coil target. The simulation model incorporates the laser driving effect, and the external magnetic field consistent with the Helmholtz capacitor-coil target is written in. This approach achieves a magnetic reconnection process that is more consistent with the experiment. By changing the resistivity, subtle differences in energy conversion during the evolution of magnetic reconnection are observed. Under conditions of low resistivity, there is a more pronounced increase in the thermal energy of ions compared to other energy components. In simulations with high resistivity, the increase in electrons thermal energy is more prominent. The simulation gives the evolution trajectory of magnetic reconnection, which is in good agreement with the experimental results. This has important reference value for experimental research on the low-β magnetic reconnection.

Physical Activity and Climacteric Symptoms Among Premenopause Women

Women experience physical changes before menopause. Women experience climacteric conditions caused by decreased reproductive hormones, so they experience the climacteric period. Climacteric is 4-5 years that occurs before menopause. Women experience problems during the climacteric period, such as hot flashes, sleep disorders, mood swings, and increased osteoporosis. Physical activity with conscious body movements produced by skeletal muscles requires energy expenditure. Physical activity includes all activities, with the intensity to help climacteric symptoms. This research aimed to identify the correlation between physical activity and climacteric symptoms. This research design used an analytical study with a cross-sectional approach. The sample was 72 women of premenopausal age, and it was obtained by cluster sampling. The research instrument was a questionnaire. The data analysis was the Kendal Tau test. The results of this study were 44.86 ± 3.041%, and the average number of children in this study was 2.76 ± 1.157%, elementary school education level was 47.2%, unemployed was 81.9%, respondents who did not use contraception hormonal and non-hormonal as many as 86.1%, respondents who did high physical activity were 93.1%, and respondents who did not have climacteric symptoms were 97.2%. The results of the Kendal Tau test showed a value (ρ value = 0.000), so there was a relationship between physical activity and climacteric symptoms in premenopausal women. In conclusion, physical activity has a relationship with climacteric symptoms in premenopausal women

Acid rain prediction in the Guangdong-Hong Kong-Macao Greater Bay Area using an explainable machine learning framework

Acid rain, characterized by pH values lower than 5.6, is a critical natural disturbance of ecosystems, which threatens the sustainability of ecosystems, agriculture, and human society worldwide. However, accurately quantifying the driving factors of acid rain remains challenging due to a changing environment of significant spatial heterogeneity. Here, we established an explainable machine-learning framework (MLF) using 19 meteorological, air pollutant, and land surface variables as model input to construct the pH values of acid rain across the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) during 2006–2021. The MLF includes Extreme Gradient Boosting (XGBoost) for acid deposition prediction and a SHapley Additive exPlanations method (SHAP) for interpreting factor importance. The results indicated that the observed increases in pH values of acid rain are predominantly controlled by the significant decreases in maximum daily sulfur dioxide (SO2) concentration of air across GBA, with its relative contribution ranging from 16.2% to 31.9% for each city. Changes in the urbanization rate and the proximity to the coast also play significant roles in predicting the pH values of acid rain. Meteorological variables typically have minimal impact on acid rain predictions, with their contribution generally being less than 5%, indicating the complex physical process of acid rain generation. This study enhanced our comprehension of the spatial variability of acid rain drivers across a highly developed region, providing valuable insights and case studies for regions worldwide that frequently experience acid rain.

Prospects for constraining quasar ages with fiber spectrographs: Quasar-induced Lyα emission from the intergalactic medium

Abstract We present a theoretical framework for linking quasar properties, such as quasar age, to the surrounding Lyα emission intensity. In particular, we focus on a method for mapping the large-scale structure of Lyα emission intensity with galaxy spectra from wide-field spectroscopic surveys, e.g., the Subaru Prime Focus Spectrograph (PFS) or the Dark Energy Spectroscopic Instrument (DESI), and consider the quasar-induced Lyα emission from the intergalactic medium (IGM). To do this, we construct a theoretical model based on two physical processes: resonant scattering of quasar Lyα photons and fluorescence due to quasar ionizing photons, finding that the fluorescence contribution due to optically thick gas clouds is dominant. Taking into account the light cone effect and assuming a typical quasar spectrum, we calculate the fluorescence contribution to the spectrum stacked within each bin of the separation angle from the quasar as a function of quasar age. Furthermore, we compute the quasar-Lyα emission cross-correlation and its SNR for the planned PFS survey. The predicted signal can only account for $\sim 10~{{\%}}$ of the measurements indicated from the BOSS and eBOSS surveys in the outer region of $\gtrsim 10\ \rm {cMpc}\ \rm {h}^{-1}$, and the predicted SNR is not sufficient to detect the quasar-induced contribution. However, we found that our model, combined with the contribution of star-forming galaxies, is not in conflict with these measurements. We discuss other possible contributions to the Lyα emission excess around quasars, the efficiency of using spectroscopic fibers, and the redshift dependence of our model.

An examination of urban green spaces usage behaviours and self-perceived mental health benefits: findings from two urban green neighbourhoods in Pakistan

ABSTRACT The present study examined urban green space users’ self-perceived mental health benefits of visiting green spaces in Pakistan – one of South Asia’s rapidly urbanizing countries. By using a quantitative-based cross-sectional survey, 384 participants were surveyed in green urban neighbourhood settings. It was found that most green space users believed that their visits to green spaces have at least some positive effects on the different parameters of their mental health, such as stress or anxiety levels, mood, energy levels, optimism levels, confidence levels, or concentration levels, among others. The study explored that the frequency and duration of green space usage and intensity of activity performed in the green space have an important role in determining the degree of the self-perceived mental health benefits of visiting green spaces, suggesting the importance of green interventions, including physical changes in the environment and social promotion activities to encourage green space usage among urban dwellers. Moreover, the study revealed low green space usage and activity intensity levels among certain sub-population groups compared to others, such as women, young adults, or the elderly, highlighting the need to ensure equity of access to green spaces for all sub-population groups and prioritize them in intervention strategies.

Contribution of artificial reefs on fisheries productivity in the Sultanate of Oman from the fishermen perspective

Artificial reefs enhance the biological, physical, and socioeconomic processes associated with natural reefs. Omani fishermen have often used tires and old car frames to create traditional artificial reefs (TARs) that attract fish. The Ministry of Agriculture, Fisheries, Wealth, and Water Resources of the Sultanate of Oman (MAFWR) constructed ministry artificial reefs (MARs) throughout the Omani coasts. To assess fishermen's perceptions of whether MARs enhance fisheries productivity and are used effectively, a survey was conducted in North Al-Batinah with 96 fishermen. Most survey questions were answered on a 5-point Likert scale, with some asking about their personal opinions about MARs. Result showed that approximately 55% of the respondents owned TARs and 45% did not. Fishermen did not accept the idea of fishing within MAR sites, both old and new, and preferred fishing within TARs or in open waters. The results also demonstrated that fishermen mostly understood the role of MARs in boosting the yield and diversity of Wilayat fisheries. Approximately 91% of the interviewees thought that TARs were fish aggregation tools, and 88% believed TARs were fishery enhancing tools. Based on these findings, recommendations have been made to improve awareness on the role and locations of MARs. In the future, the use of MARs should be systematically regulated by the government.

Physical activity change after early rhythm control after new-onset atrial fibrillation and major adverse cardiovascular event risk

Abstract Background There is paucity of information about major adverse cardiovascular event (MACE) related to physical activity change after early rhythm control (ERC) after new-onset atrial fibrillation (AF). We investigated the association between physical activity after ERC and clinical outcomes in new-onset AF patients. Methods This study was performed based on the Korean National Health Insurance Service database. We included adults with new-onset AF between 2009 and 2018. Patients who received national health screening examination before and after AF diagnosis within 2-year were finally included (n=161,379). Among these, 48,243 patients were received rhythm control within 2-year after AF diagnosis. Patients were categorized into 4 groups as follows: persistent non-exerciser, new exerciser (after AF diagnosis and ERC), exercise maintainer, and exercise quitter (after AF diagnosis and ERC). The primary outcome was MACE defined as the composite of ischemic stroke, myocardial infarction, and hospitalization for heart failure. Multivariable Cox analysis was performed. Results Among 48,243 patients receiving ERC, 63% (n=30,540) was persistent non-exerciser, 13% (n=6260) was new exerciser, 11% (n=5102) was exercise maintainer, and 13% (n=6341) was exercise quitter. After multivariable adjustment, compared to persistent non-exerciser, new exerciser and exercise maintainer with ERC showed lower risk of MACE by 10% and 19%, respectively (adjusted hazard ratio [aHR], 95% confidence interval [95% CI], 0.903 [0.802-0.994] for new exerciser, and 0.810 [0.725-0.906] for exercise maintainer) (Table 1). However, exercise quitter did not show significant benefit compared to persistent non-exerciser (Table 1). To assess the synergistic effect of ERC and starting or maintaining physical activity, we performed exploratory analysis including patients who did not receive ERC. Compared to persistent non-exerciser without ERC, persistent non-exerciser with ERC was associated with a significantly lower risk of MACE (0.832 [0.797-0.868], Table 2). Patients who received ERC and started or maintained physical activity with ERC showed greatest risk reduction for MACE by 27% and 36%, respectively (0.732 [0.668-0.802] for new exerciser and 0.641 [0.576-0.713] for exercise maintainer) (Table 2). Conclusion Even in context with beneficial effect of ERC in patients with new-onset AF, maintaining or starting regular physical activity after ERC might bring greater reduction on the risk of MACE. Physician should emphasize healthy lifestyle behavior with rhythm control in patients with new-onset AF.

Gradient-based adaptive neural network technique for two-dimensional local fractional elliptic PDEs

Abstract This paper introduces gradient-based adaptive neural networks to solve local fractional elliptic partial differential equations. The impact of physics-informed neural networks helps to approximate elliptic partial differential equations governed by the physical process. The proposed technique employs learning the behaviour of complex systems based on input-output data, and automatic differentiation ensures accurate computation of gradient. The method computes the singularity-embedded local fractional partial derivative model on a Hausdorff metric, which otherwise halts the computation by available approximating numerical methods. This is possible because the new network is capable of updating the weight associated with loss terms depending on the solution domain and requirement of solution behaviour. The semi-positive definite character of the neural tangent kernel achieves the convergence of gradient-based adaptive neural networks. The importance of hyperparameters, namely the number of neurons and the learning rate, is shown by considering a stationary anomalous diffusion-convection model on a rectangular domain. The proposed method showcases the network’s ability to approximate solutions of various local fractional elliptic partial differential equations with varying fractal parameters.&amp;#xD;

On the persistence and related mechanisms for day–night compound humid heat extremes in the Northern Hemisphere

Hot extremes pose adverse impacts on human health and ecosystem, leading to aggravated damage when they combine high-humidity and occur in the both daytime and nighttime. Although considerable studies have focused on hot extremes, understandings about day–night Compound humid heat (quantified by Moist Enthalpy) Extremes (CMEEs) are still lacking. This work investigates their frequency, linear trends and temporal persistence in the Northern Hemisphere, and two typical vulnerable regions are selected as Central Europe (CE) and the Arabian Peninsula (AP), both exhibiting high frequency and positive trends, but with contrasting persistence, which is quantified by the bivariate Dynamical System method. Results reveal their regional dependence and physical processes: the dual importance of sensible and latent heat in CE is attributed to the combination of an anomalous anticyclone and evaporation, whereas the dominance of latent heat in AP is largely owing to the convective precipitation. CMEEs in AP can be further divided into two groups with distinct persistence, and this disparity actually depends on the preceding precipitation duration and its associated water vapor supply.