bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing energy-efficient home appliance adoption: Media publicity strategies and planned behavior theory
Authors: Andika Andika , Fadhilah Muinah , Luthfiana Della Nanda , Nadia Nadia , Amirullah Malik Abd Karim
Published: August 2024

Adopting energy-efficient home appliances is one of the critical strategies for supporting environmental protection through reducing energy consumption. This study aims to identify factors contributing to consumers’ intentions to adopt energy-efficient household appliances (EEHA) in Indonesia, particularly in Java, a representative area of energy consumption in the country. Adopting the Theory of Planned Behavior (TPB) as the main theoretical framework, the study expands the model to include media publicity (MP) variables as external factors. The survey method was applied to 200 respondents, and the collected data were analyzed using the Structural Equation Modeling (SEM) technique through Smart-PLS 4. The results revealed that consumer attitudes (CA), perceived behavioral control (PBC), and subjective norms (SN) significantly affected consumers’ intentions in adopting EEHA. Furthermore, the study found that MP significantly influences CA. Likewise, as we expected, MP significantly affected PBC and SN, marking the first time this relationship has been identified in the context of the adoption of EEHA. Based on these findings, we discuss some of the implications for policymakers, marketers, and environmental practitioners in promoting the adoption of EEHA to accelerate the transition to more sustainable energy consumption in households.
Changes on Reproductive Hormones and Metabolism Caused by Heat Stress and Beneficial Foods during Male Adolescence
Authors: Ko Seong-Hee
Published: August 2024

Heat stress due to climate warming can significantly affect the synthesis of sex hormones in male adolescents, which can impair the ability of the hypothalamus to secrete gonadotropin-releasing hormone on the hypothalamic-pituitary-gonadal axis, which leads to a decrease in luteinizing hormone and follicle-stimulating hormone, which ultimately negatively affects spermatogenesis and testosterone synthesis. For optimal spermatogenesis, the testicular temperature should be 2–6°C lower than body temperature. Heat stress directly affects the testes, damaging them and re-ducing testosterone synthesis. Additionally, chronic heat stress abnormally increases the level of aromatase in Leydig cells, which increases estradiol synthesis while decreasing testosterone, lead-ing to an imbalance of sex hormones and spermatogenesis failure. Low levels of testosterone in male adolescents lead to delayed puberty and incomplete sexual maturation, negatively affect height growth and bone mineral density, and can lead to a decrease in lean body mass and an in-crease in fat mass. In order for male adolescents to acquire healthy reproductive capacity, it is recommended to provide sufficient nutrition and energy, avoid exposure to heat stress, and pro-vide foods and supplements to prevent or repair testosterone reduction, germ cell damage, and sperm count reduction caused by heat stress so that they can enter a healthy adulthood.
Exploring Experimental Isotope Scaling and Density Limit in Tokamak Transport
Authors: Weiland Jan , Rafiq Tariq , Schuster Eugenio
Published: August 2024

As it turns out, both isotope scaling and density limits are phenomena closely linked to fluid closure. The necessity to include ion viscosity arises for both phenomena. Thus, we have added ion viscosity to our model. The experimental isotope scaling has been successfully recovered in our fluid model through parameter scans. Although ion viscosity typically exerts a small effect, the density limit is manifested by increasing the density by approximately tenfold from the typical experimental density. In our case, this increase originates from the density in the Cyclone base case. Notably, these phenomena would not manifest with a gyro-Landau fluid closure. The isotope scaling is nullified by the addition of a gyro-Landau term, while the density limit results from permitting ion viscosity to become comparable to the gyro-Landau term. The mechanism of zonal flows, demonstrated analytically for the Dimits upshift, yields insights into the isotope scaling observed in experiments. In our approach, ion viscosity is introduced in place of the Landau fluid resonances found in some fluid models. This implies that the mechanism of isotope scaling operates at the level of fluid closure in connection with the generation of zonal flows. The strength of zonal flows in our model has been verified, particularly in connection with the successful simulation of the nonlinear Dimits shift. Consequently, a role is played by our approach in the temperature perturbation part of the Reynolds stress.
Tensile Yield Strength Prediction for Polypropylene Using Cowper-Symonds Model in the Low Range of Strain Rates
Authors: Kasprzak Adam
Published: August 2024

This study investigates by hybrid approach of classical calculations and numerical explicit FEM simulation the strain rate sensitive hardening of Polypropylene Sabic 83MF10 under dynamic tension loads. The Cowper-Symonds model is employed to characterize the non-linear increase in yield strength with strain rate, within the range of 0,01 to 1 [1⁄s]. For lower strain rates, a drastic decrease in yield strength is observed, suggesting the significant influence of creep and relaxation phenomena. The study proposes further research incorporating viscoelastic properties for a more comprehensive material model. Additionally, the study observes a disproportionate increase in yield strength for samples with smaller radius, indicating a dependency on triaxiality which suggests further research on the Drucker-Prager model for this material. The study concludes by recommending a broader range of input parameters for future studies, including the Johnson-Cook model and comparison of tensile test results with compression test results.
Investigation of the Energy Dissipation Characteristics of a Nonlinear Suspension System
Authors: Diala Uchenna , Zhu Yunpeng , Gunawardena Rajintha
Published: August 2024

This paper investigates the energy dissipation level of a nonlinear vehicle suspension system. The suspension system is modelled as a mass-spring-damper system, which is designed using the output frequency response function (OFRF) method. This method enables the derivation of an explicit relationship, between the system output spectrum (or Performance metric) and the system nonlinear parameters of interest. The OFRF polynomial, of the energy dissipation level, was derived in terms of the nonlinear parameters of interest. The results obtained show that the OFRF model, of the energy dissipation level, could be used to estimate the amount of heat dissipated, for a set of design parameters. This has potentials of providing some insights, in the design of vibration-based energy harvesters, as some of the wasted heat energy could be converted to electrical energy.
Influence of Flow Channel Structural Parameters on the Hy-draulic Performance and Anti–clogging Performance of Variable Flow Emitters
Authors: Niu Peining , Mo Yan , Yao Baolin , Yang Zongze
Published: August 2024

Variable flow emitters are a new type of emitter for underground drip irrigation that are used in locations where soil moisture is difficult to transport to the surface, which leads to crop emer-gence difficulties. The flow channel structure parameters of emitters affect the hydraulic per-formance of the emitter and its anticlogging ability. In this study, the variable flow emitter at the conventional low–flow water supply stage is taken as the research object. A combination of CFD numerical simulation of a two–phase flow of water and sand and clear water testing of test samples is applied to study the influence laws of 10 groups of variable flow emitter structural combinations on the effluent flow rate (q), flow index (x), particle passage rate and flow field inside the flow channel. The results show that the Realizable k–ε turbulence model can be used to simulate the flow field inside the variable flow emitter flow channel. The nRMSE between the measured and simulated values of q is 11.23%, and the relative error between the measured and simulated values of x is 4.66%, which gives a high simulation accuracy. The polar analysis shows that the tooth angle A has the smallest effect on the effluent flow rate q0.1 under 0.1 MPa, x, and particle passage rate of the variable flow emitter. The depth of the flow channel D, the spacing of the teeth B, and the height of the teeth E have a different order of precedence in the influence of the three indices, which are D > B > E > A, B > E > D > A, and E > B > D > A, respectively. The value of particle passage rate is positively correlated with the mean flow velocity (v) and the mean turbulent kinetic energy (k) in the flow channel, and particle passage rate tends to increase and then decrease with the increase of x. The retention time (t) of the particles in the flow channel is closely related to the magnitude of v and k. Three multivariate linear regression equations (R2 = 0.883 ~ 0.995) were constructed for q0.1, x, and particle passage rate versus the flow channel structural parameters. Using the scipy.optimize.minimize function in Python, we de-termined the three optimal combinations of flow channel structural parameters corresponding to better hydraulic performance: q0.1 is 1.5 or 2 L/h (objective function y = min x), better clogging resistance (y = max particle passage rate), and both (y = min (0.5 x - 0.5 particle passage rate)). The research results can provide a ref-erence for the optimal design of variable flow emitters.
Sensitivity Analysis of Airfoil Deformation for Aerial-Aquatic Navigation
Authors: Du Chengrong , Zhao Dongbiao
Published: August 2024

This paper aims to explore the relationship between airfoil deformation and airfoil aerial-aquatic adaptation. The form of “flexible skin and rigid drive structura” holds immense potential for various applications. In this study, we utilize the B-spline method to parametrically describe the airfoil shape. An airfoil deformation parameterization method is proposed based on the isogeometric method. This method allows us to depict airfoil deformation as the position and displacement of the driving point, enabling an expression of the flexible skin's deformation driven by the internal structure. We utilize the Xfoil application and Gaussian regression method to elucidate the relationship between driving point position and displacement and the airfoil's dynamic performance. Additionally, we employ the Sobol method to assess the sensitivity of the driving point variables to the airfoil's dynamic performance. Our findings indicate that the attack angle of the airfoil exhibits the highest sensitivity index to the airfoil's dynamic performance. Furthermore, variables of the driving point situated at the leading and trailing edges of the lower surface significantly impact the airfoil lift coefficient, those located at the mid-section of the upper surface have a considerable effect on the airfoil drag coefficient.
Multi-Robot Systems in Agricultural Applications: A Review of the State of the Art
Authors: Hernandez Henry , Pedraza Luis
Published: August 2024

In the last decade, the integration of robots into agricultural tasks has significantly transformed food production from planting to harvest. The precision and efficiency of a robot allow for specialized crop management in cases such as; plant disease identification, optimization of water and fertilizer use, monitoring of environmental and soil conditions, among others. That is, the adoption of robots in agricultural practices through intelligent automation increases crop yields and decreases environmental impact. Intelligent automation faces contemporary challenges such as climate change and population growth, promoting sustainable food security. Therefore, this article presents a review of the state of the art of modular robots and their applications in agriculture. Modular robots have the ability to reconfigure and adapt to different tasks, promoting versatile solutions for the agricultural sector. These solutions are linked to the robot's control systems, which can be centralized, decentralized, and hybrid. Firstly, centralized control allows for unified management and coordination in high-precision tasks. Secondly, the decentralized approach offers flexibility and robustness in changing environments where adaptability is required. Thirdly, hybrids incorporate features of both control types balancing control and autonomy to increase efficiency and effectiveness in practical applications. In some cases, control systems incorporate bio-inspired motion control techniques, where the robot mimics natural movements and behaviors to improve its adaptability in performing a task. For example, the chemosynthesis model, which is a biological process where bacteria convert an inorganic compound into energy, has been adapted for individual robots to explore and navigate their environment. Therefore, this article presents an overview of modular robots, the incorporation of bio-inspired motion control techniques, and their convergence towards the sustainable solution of contemporary problems in the agro-industry.
From Phonons to Domain Walls, the Central Peak and “Critical Slowing Down”
Authors: Salje Ekhard K. H. , Bussmann-Holder Annette
Published: August 2024

We investigate perovskite oxides from different aspects, namely their pseudoharmonic dynamical properties, their dynamical properties when strong anharmonicity exists and the intriguing functionalities arising from domain walls. Taking these viewpoints together yields a rather complex picture of this material class which was not anticipated in previous approaches. It opens pathways to novel applications and reveals the rich ground states beyond the fictitious belief in ‘simplicity of perovskites and such structures’.
"Topological Dynamics in Ecological Biomes and Toroidal Structures: Mathematical Models of Stability, Bifurcation, and Structural Failure
Authors: Montgomery Richard Murdoch
Published: August 2024

This study presents two interconnected mathematical models: one describing the stability and bifurcation dynamics of ecological biomes, and another simulating the progressive deformation and structural failure of a toroidal object. Both models explore topological changes in complex systems, bridging concepts from ecology, materials science, and mathematical physics. The first part introduces a dynamic model of ecological biomes, incorporating seasonal oscillations and external pressures. We define equations for topology updates, seasonal effects, and pressure impacts, culminating in a bifurcation condition that represents a critical shift in the biome's equilibrium state. This model provides insights into the resilience and tipping points of ecological systems under varying environmental stresses.The second part extends these concepts to a three-dimensional toroidal structure. We present parametric equations describing the torus geometry and develop a time-dependent deformation model that includes both stochastic and deterministic elements. A novel twisting deformation component enhances the realism of the structural changes. We define a critical threshold for maximum displacement, beyond which the torus undergoes structural failure, analogous to the bifurcation point in the biome model. Both models are implemented computationally, providing visual representations of the systems' evolution over time. The biome model illustrates the path to and consequences of bifurcation, while the torus simulation depicts the stages of deformation leading to structural break. This work contributes to the understanding of topological changes and critical transitions in both ecological and physical systems. By presenting these models in parallel, we highlight the universal nature of stability, bifurcation, and failure across different domains. The methodologies presented here have potential applications in ecology, materials science, structural engineering, and theoretical physics, offering a framework for studying the limits of system integrity under stress.
Resource Adequacy and Integration of Renewables in the Light of US, EU and Pakistan’s Evolving Power Sector
Authors: Hussain Muhammad Sadam , Cho Kangwook
Published: August 2024

This study investigates resource adequacy and renewable energy integration in the United States, European Union, and Pakistan amid global energy market liberalization and greenhouse gas re-duction efforts. It explores how these regions are adapting to the surge in renewable sources like wind and solar, which, despite their financial and environmental benefits, challenge resource adequacy and the economic viability of traditional energy sources. In the US and EU, significant improvements have been introduced in wholesale electricity markets and capacity accreditation mechanisms, which enhanced the large-scale deployment of renewables. This shift has prompted a reevaluation of resource adequacy, leading to increased deployment of battery storage and demand response. Presently, gas-based generation is largely upholding resource adequacy, however, future trends indicate a move towards greater consumer participation, energy efficiency, and utility-scale storage, with a decline in fossil fuel use. Pakistan aims to adopt a liberalized market structure by balancing competitive markets with legacy contracts. Public pressure is driving a shift from costly fossil-based generation to renewables. Similarly, a trend in the rise of behind-the-meter solar generation can be witnessed. In future, Pakistan may also experience resource adequacy challenges. It will likely need to implement battery storage, demand response, and modern capacity accreditation tools, by drawing lessons from developed markets.
Revisiting Maxwell's Equations for Observers: Direct Derivation of Doppler and Sagnac Effect
Authors: Chen Qian
Published: August 2024

Maxwell's equations accurately describe the propagation of electromagnetic (EM) waves. However, the conventional formulation implies invariance to observers, posing challenges in explaining how the wave is perceived by different observers. For example, Doppler effect shows that observers perceive the same EM wave differently.By employing mathematical transformations, we derive a general form of Maxwell’s wave equations by incorporating a "time scaling" factor to account for observer perception. The original form is shown to be a special case when static. The Doppler effect and Sagnac effect are directly derived from Maxwell’s equations. All the results are consistent with established experiments.Our findings offer a fresh perspective, promising a deeper understanding and unification of EM phenomena. We extend Maxwell’s equations to describe not only the propagation of an EM wave, but also how it will be measured by different observers, say, antennas.
Design, Simulation and Functional Testing of a Novel Ankle Ex-oskeleton with 3DOFs
Authors: Sergazin Gani , Zhetenbayev Nursultan , Tursunbayeva Gulzhamal , Uzbekbayev Arman , Sarina Aizada , Nurgizat Yerkebulan , Nussibaliyeva Arailym
Published: August 2024

This paper presents a study on developing of a new exoskeleton for ankle joint rehabilitation with three degrees of freedom (3 DOFs). The primary attention is paid to the process of designing and modelling the device aimed at restoring the lost functions of joint mobility. The authors carried out a complex analysis of the functional requirements of the exoskeleton based on the research of potential user’s needs, which allowed them to develop a conceptual model of the proposed de-vice. In this study, a prototype of the exoskeleton is designed using modern additive technolo-gies. A prototype of the proposed device underwent virtual testing in conditions maximally close to the real one, which confirmed its effectiveness and comfort of use. The main results of the work indicate the promising potential of the proposed solution for application in rehabilitation practice, especially for patients with ankle joint injuries and diseases.
An Efficient Process for the Management of Deterioration and Conservation of Architectural Heritage. The HBIM Project of the Duomo of Molfetta (Italy)
Authors: Nieto-Julián Juan Enrique , Bruno Silvana , Moyano Juan
Published: August 2024

The research aims to present an innovative methodology to execute the Heritage conservation processes in a collaborative and interdisciplinary BIM project, with an effective management of the deterioration suffered over time, emphasizing the structures and coatings. The research begins with the architectural survey using scanning techniques (TLS) and terrestrial photogrammetry (SfM) and taking as a study the Duomo of Molfetta (Italy), a unique Romanesque architecture of Puglia (Italy). The methodological process is mainly aided by the precise semantic segmentation of global point clouds, a semi-automatic process assisted by classification algorithms implemented in the post-processing software, and which has allowed the classification of the unstructured information provided by the remote sensing equipment when identifying the architectural-structural systems of a building with high historical values. Subsequently, it has been possible to develop an efficient Scan-to-HBIM workflow, where the Heritage-BIM (HBIM) project has fulfilled the function of a database by incorporating and organizing all the information (graphic and non-graphic) to optimize the tasks of auscultation, identification, classification, quantification and, in turn, facilitating the parametric modeling of unique structures and architectural elements. The results have shown great effectiveness in the processes of characterization of architectural and artistic heritage, focusing on the deformations and deterioration of the masonry in columns, and making multidisciplinary conservation work in an HBIM project more flexible. But there are still some difficulties for the automatic interpretation of 3D point cloud data, related to specific systems of the historical architecture. In conclusion, human action and interpretation continues to be a fundamental pillar to achieve precise results in a heritage environment.
Endocrine Disruptors in Pregnancy: Effect on Mother and Fetus - A Review
Authors: Hajjar Rima , Hatoum Sana , Mattar Serge , Moawad Gaby , Ayoubi Jean Marc , Feki Anis , Ghulmiyyah Labib
Published: August 2024

Background/Objectives: Endocrine disruptors are ubiquitous agents in the environment and are present in everyday consumer products. These agents can interfere with the endocrine system, and subsequently the reproductive system, especially in pregnancy. Increasing research has been conducted to discover and describe the health effects of these agents on humans, including pregnant women, their fetuses, and the placenta. This review discusses prenatal exposure to various endocrine disruptors focusing on Bisphenols, Phthalates, Organophosphates, and Perfluoroalkyl substances, and their effects on pregnancy and fetal development. Methods: We reviewed the literature via PubMed and EBSCO databases and included the most relevant studies. Results: Our findings reveal that several negative health outcomes were linked to endocrine disruptors. However, despite the seriousness of this topic and the abundance of research on these agents, it remains challenging to draw strong conclusions about their effects from the available studies. This does not allow for strong, universal guidelines and might result in poor patient counseling and heterogeneous approaches to regulating endocrine disruptors. Conclusion: The urgency of the matter calls for urgent efforts, as more studies are needed in this realm, to protect pregnant patients ultimately and in the long term, society.
Enlarged External Occipital Protuberance (EEOP) and Tech Neck Posture: A Comparative CBCT Analysis between Modern and Ancient Populations in Abruzzo
Authors: Macrì Monica , Alhotan Abdulaziz , Festa Mario , Rendina Fabiola , Festa Felice
Published: August 2024

The External Occipital Protuberance (EOP) is a notable anatomical landmark connected to neck musculature. With the rise of tech neck syndrome due to prolonged smartphone use, concerns have emerged regarding its influence on EOP morphology. This study compares EEOP characteristics in contemporary individuals (aged 18-30 years) from Abruzzo with ancient skulls from the Opi necropolis (VII-Vth century BC) Methods: Four null hypotheses were tested concerning EEOP prevalence and severity: (1) no gender differences, (2) no differences between modern and ancient populations, (3) no gender-based variations in severity, and (4) no temporal differences in severity. Statistical analyses were conducted to assess the significance of these hypotheses. Results: The study found a higher prevalence of EEOP in modern individuals compared to ancient populations, with no significant gender differences in prevalence. However, severity of EEOP showed significant variation by gender and historical period, with modern individuals exhibiting greater severity. Conclusions: The observed increase in EEOP prevalence and severity in modern populations suggests a potential influence of tech neck posture associated with increased screen time. These findings underscore the need for further research into the effects of contemporary lifestyle factors on cranial morphology.
Comparison between Design Methods for Seismic Retrofit of R.C. Frames Using Dissipative Bracing Systems
Authors: Colajanni Piero , Ahmed Muhammad , D’Anna Jennifer
Published: August 2024

The use of braces equipped with dissipative devices for the seismic strengthening of seismically prone reinforced concrete frames is among the most widespread methods, as it allows for high reductions in seismic vulnerability with inexpensive, quickly executed interventions, which can often be carried out mainly by the exterior, resulting in interruptions of use limited both in time and to only small portions of the building. The design methods of dissipative devices are based on the extensive use of pushover analyses capable of highlighting the structural deficiencies of the building and comparing the performances achievable by developing designs according to different methods and sizing criteria. In the present work, with reference to a case study represented by a four-story spatial frame having characteristics representative of design and construction common practice of the 1970s in Southern European countries, the performance of three different design methods is compared. The examined procedures differ for: methods for estimating the peak displacement response of the nonlinear systems, namely the well-known Equal Displacement Rule and the Equivalent (secant) stiffness and Damping rule; and criteria for distributing stiffness and strength of the bracing along the height, namely the distribution of stiffness and strength proportionally to those of the frame, and methods that vary the stiffness and strength along the height in order to minimize the eventual irregularity in elevation of the bare frame. The effectiveness of the procedures is checked by static pushover analysis and nonlinear response history analysis, performed by unidirectional and bidirectional input. Pros and cons of each procedure are summarized, all of them able to provide bracing designs that meet the performance requirements set during the design phase.
Clinical Polymorphism of Cutaneous Leishmaniasis caused by Leishmania aethiopica: Association with Nutritional Status in Affected Patients, Amhara Region, Ethiopia. A Retrospective Study in Remote Areas
Authors: Gashaw Bizuayehu , Yizengaw Endalew , Simegn Endalkachew Nibret
Published: August 2024

Background: The different disease forms of cutaneous leishmaniasis (CL) are influenced by parasite and host factors. Malnutrition impairs immunity. It has been found to disrupt immune protection by favoring the production of anti-inflammatory prostaglandins over pro-inflammatory cytokines. In Ethiopia, data on CL patients' nutritional status remains scarce. This study aims to assess clinical polymorphism and its association with the nutritional status of the patient. Methods: A retrospective study was conducted from June to July 2024, and patient’s data was analyzed from those treated for CL. Nutritional status was assessed through MUAC, Z-score, and BMI. Results: A total of 217 CL patient’s statuses were nutritionally defined and 22% of them were found malnourished. Most of the CL problems concentrate on age
Enhancing Heterogenous Traffic Flows with Additional Exclusive Two-Wheeled Vehicle Lanes using Reinforcement Learning Algorithm: A Case Study at One of Bandung Intersections
Authors: Husni Emir Mauludi , Meliansa Firman Apriandi
Published: August 2024

This paper investigates the impact of adding exclusive two-wheeled vehicle lane based on motorcycle data and using reinforcement learning at one of Bandung’s heterogeneous intersections which uses data collected from ATCS Bandung. The Kiaracondong-Ibrahim Adjie intersection in Bandung is notorious for severe congestion, especially during rush hours. Traditional traffic management methods often fall short, necessitating innovative solutions to mitigate long wait times and extensive queue lengths. This study leverages Reinforcement Learning (RL), specifically Deep Q-learning Network algorithm, combined with introduction of additional two-wheeled vehicle lanes to optimize traffic flow at this busy intersection. The research involved configuring the SUMO platform to accurately simulate the intersection’s traffic conditions, including parameters such as lane widths and vehicle dynamics. The RL model was trained over 100 episodes using quantitative real traffic data from ATCS Bandung city. The training process minimize vehicle waiting time and queue length by adjusting traffic light phases dynamically. Results from the simulations indicated significant improvements in traffic management. Queue lengths in regular lanes decreased by 64.89% under RL control, while two-wheeled vehicle lanes saw a 26.39% reduction. Waiting times in regular lanes dropped by 80.49%, and in two-wheeled vehicle lanes by 39.96%. The study demonstrated that integrating DQN with dedicated two-wheeled vehicle lanes could substantially enhance traffic flow and reduce congestion at critical urban intersections. The findings underscore the potential of advanced RL techniques in urban traffic management. However, the study acknowledges the need for further research with more extensive resources and time to develop even more efficient traffic control systems. Future work should focus on refining these methods for broader application and exploring other innovative technologies to sustainably address urban traffic challenges.
Research on Finance Risk Management based on Combination Optimization and Reinforcement Learning
Authors: Jiang Gaozhe , Zhao Shenghan , Yang Haowei , Zhang Kai
Published: August 2024

The impact of financial risks extends beyond the normal operation and survival of industrial and commercial enterprises and financial institutions. They also have the potential to impede the stable development of a country's and even the world's financial economy. This is clearly demonstrated by the severe consequences of the frequent financial crises that have occurred in recent years. It thus follows that the prevention of financial risks has become one of the core tasks of the operation and management of industrial and commercial enterprises and financial institutions. Portfolio optimization techniques are employed in the construction of a variety of asset allocation models, with reinforcement learning algorithms used to dynamically adjust investment strategies with the objective of maximizing returns and minimizing risks. The preliminary construction of an asset allocation model is achieved through the utilization of a genetic algorithm. Genetic algorithms emulate the processes of natural selection and genetic variation to identify the optimal portfolio of assets that will yield the greatest returns at a pre-established level of risk. Subsequently, the Deep Q-Learning algorithm is introduced to facilitate dynamic adjustments and optimization of the asset allocation, based on the initial construction. Deep Q-learning employs deep neural networks to forecast the prospective returns of disparate investment strategies, thereby optimizing the decision-making process through continuous learning and updating. The combination of genetic algorithms and deep Q-learning enables the system to identify the optimal investment strategy under a diverse range of initial conditions and to adapt it in real-time to respond to market fluctuations and uncertainties. The experimental analysis demonstrates that the proposed method exhibits an exemplary capacity for risk control and a robust ability to generate stable income growth across diverse market environments. In simulation experiments, portfolios constructed using this method demonstrate lower volatility and higher average returns than those generated through traditional methods.
Multidrug Resistance and Virulence Profiling of Fomite-Resident Streptococcus species
Authors: Gyapong Francis , Isawumi Abiola
Published: August 2024

Nose mask is a fomite and its usage was mandatory during the COVID-19 outbreak. Its effectiveness has been established; however, as a fomite, it can harbor opportunistic respiratory pathogens such as Streptococcus spp., which could complicate COVID-19 infections. This study profiled Streptococcus species resident on nose masks obtained from consenting participants. Phenotypic assays and 16S rRNA sequencing were used to identify Streptococcus spp. resident on the interior and exterior of 100 nose masks analyzed. Antibiotic resistance (AMR) was determined with disc diffusion and broth microdilution assays. AMR and virulence makers were profiled with primer-specific PCR amplification. 23% of the analyzed samples had Streptococcus isolates. The isolates were highly resistant to the antimicrobials, including conventional, last-resort antibiotics, disinfectants and antiseptics. All the isolates are multidrug resistant with 80-100% levels of AMR to the 16 antibiotics tested with a Multiple-Antibiotic Resistance index greater than 0.2, indicative of potential pathogens. The isolates harbored tetB, ermB, pbp2B, pbp2b1 (resistance) and lytA, lytA1, ply1, cbpA, lytA, pavA (virulence) markers, which might constitute a serious public health risk. Overall, the study emphasizes the need to assess mask usage and the risks associated with opportunistic pathogens that are resident on frequently used nose masks in the COVID-19 era.
ServerFi: A New Symbiotic Relationship Between Games and Players
Authors: Shetty Pavun
Published: August 2024

Blockchain-based games have introduced novel economic models that blend traditional gaming with decentralized ownership and financial incentives, leading to the rapid emergence of the GameFi sector. However, despite their innovative appeal, these games face significant challenges, particularly in terms of market stability, player retention, and the sustainability of token value. This paper explores the evolution of blockchain games and identifies key shortcomings in current tokenomics models using entropy increase theory. We propose two new models—ServerFi, which emphasizes Privatization through Asset Synthesis, and a model focused on Continuous Rewards for High-Retention Players. These models are formalized into mathematical frameworks and validated through group behavior simulation experiments. Our findings indicate that the ServerFi is particularly effective in maintaining player engagement and ensuring the long-term viability of the gaming ecosystem, offering a promising direction for future blockchain game development.
A Study on a Radio Source Location Estimation System Using High Altitude Platform Stations (HAPS)
Authors: Furuse Yuta , Tran Gia Khanh
Published: August 2024

In recent years, there has been an increase in the number of illegal radio stations that exceed power limits or use illegal frequencies. There has been a radio monitoring system called the DEURAS system to control these illegal radio stations. This system monitors illegal radio stations by receiving illegal radio waves using sensor stations installed in various locations. However, these systems sometimes do not work well when there is no line of sight from the sensor stations to the illegal radio stations or when there are many reflected waves generated due to the surrounding environment. In this study, we proposed a radio wave source estimation using HAPS, an unmanned aerial vehicle flying at high altitude. The simulation results show that estimation from high altitude provides higher estimation probability and estimation accuracy than the conventional method.
The Impact of Artificial Intelligence on Global Journalism Industry: An Analytical Study
Authors: Almakaty Safran
Published: August 2024

This research paper examines the transformative impact of Artificial Intelligence (AI) on the global journalism industry. The integration of AI technologies, such as machine learning and natural language processing, has drastically changed journalistic practices and media operations. The study aims to understand how AI affects news production, distribution, and ethical considerations within journalism. By providing historical context and reviewing existing literature, this paper situates its analysis within the broader academic discourse. A mixed-methods approach is used for data collection and analysis, ensuring comprehensive and reliable findings. Results indicate that AI tools enhance journalistic efficiency and capabilities but also introduce challenges related to accuracy, authenticity, and editorial judgment. The implications for employment in journalism are significant, necessitating new skills and roles. The discussion interprets these findings in the context of media evolution and ethical standards. This study concludes by advocating for a balanced approach to AI adoption in journalism, emphasizing the importance of ethical guidelines, continuous journalist training, and ongoing research to navigate this evolving landscape.
Goyor Sarong: The Symbolic and Cultural Meaning of Gloved Contemporary Society
Authors: Armaidi Indriana Eko , Retnawati Heri , Fauziah Puji Yanti
Published: August 2024

Goyor sarong is a cultural heritage of Tegal, Central Java made using Non-Machine Looms (ATBM) with characteristic motifs that describe the character of the Tegal people. This study aims to analyze the symbolic meaning of the goyor sarong and its existence in the gloved culture of contemporary Tegal society. The approach used in this study is qualitative with the type of research is descriptive qualitative. The informants interviewed were gloved cultural actors from diverse professions and socio-cultural backgrounds. Data were also obtained from literature studies including online media. The results of this study show that the typical motifs on the goyor sarong include lung, bottled, ceplok, prilik, and balian motifs. Goyor sarong are viewed from a symbolic point of view, have a symbiotic understanding between humans and symbolic objects, and understand the cultural meaning of goyor sarong to shape social life. The motifs in the goyor sarong are increasingly developing according to the times and consumer needs in the modern era. This is closely related to the gloved culture of contemporary Tegal society. The use of goyor sarongs in contemporary society usually indicates the strata and events attended. In the era of orientation development, the goyor sarong has more meaning than just symbolic elaboration. Sarong goyor as a culture has an important role for the community that depicts local fashion life in line with the issue of zero waste in the latest international fashion industry.
Artificial intelligence technologies for the real sector of the economy and social sphere
Authors: Sherbakov Sergey Sergeevich
Published: August 2024

I describe the development of artificial intelligence (AI) technologies and propose an applied definition of it. Based on a number of studies of technical systems for critical purposes, I consider the corresponding technologies in comparison with mathematical modeling. I discuss some of the risks and prospects associated with the development of AI.
Neural network structure design for AGI
Authors: Zhuravlev Dmitry Vladimirovich , Smolin Vladimir Sergeevich
Published: August 2024

Modern neural networks have shown impressive success in approximating complex multidimensional transformations and generating realistic signals such as images, videos, texts, and speech. They can imagine new situations, indicating the potential for the artificial general intelligence (AGI) development, which differs from narrow artificial intelligence in that it can in-dependently find new knowledge without direct human involvement, based on the analysis of input data and existing knowledge. The AGI creation requires the neural structures development capable of independent task understanding, breaking it down into components and formulating intermediate goals. This paper presents ideas for designing AGI neural network structures capable of acquiring new knowledge in complex environments.
The new information reality and the science of information
Authors: Kolin Konstantin Konstantinovich
Published: August 2024

The analysis of the current state, the main trends and prospects for the development of information research in the context of the formation of a global information society and a new scientific and technological revolution is carried out. It is shown that three areas of such research are the most relevant today. The first is the formation of an information paradigm of scientific cognition based on the latest achievements in the field of information philosophy. The second direction is the formation of the scientific branch “Information Sciences”, the core of which will be Computer Science, as the fundamental science of information processes in nature and society. Both of these directions will become the scientific basis for the development of the third direction – the formation of a complex of new information disciplines in the traditional humanities and natural sciences. The intellectual potential of Russia is shown, which can be used for the development of all these new areas of scientific research in the near future.
Development of Latin America and global projects in historical context
Authors: Mikhailov Nikolai Nikolaevich
Published: August 2024

I consider the main goals and objectives of the global Zionist project, the stages of its implementation, and notes the cause-and-effect relationships of key historical events. I substantively outline the socio-political effect produced by the project leaders in the Western Hemisphere and Latin America.
Cellular automata as mathematical models
Authors: Stepantsov Mikhail Evgenievich
Published: August 2024

The paper considers using cellular automata as mathematical models to solve problems based on differential equations. The convergence of the solution obtained using a cellular automaton to the solution of the original differential equation has been proven for a class of problems used in socio-economic modeling. We discuss the applicability of cellular automata in such problems.
Online scientific journal
Authors: Gorbunov-Possadov Mikhail Mikhailovich
Published: August 2024

The situation with the representation of Russian scientific journals online raises many questions. Why does it usually take one or two days from the moment an article receives the approval of reviewers, editors, and proofreaders until the article appears online abroad, while in our country it takes several months? When will a Russian publisher come to understand that an online article can and should now be associated not with a one-time act of publication, but with an unlimited in-time process of improvement and updating? Why does the reader regularly come across registration and/or payment requirements when searching for a Russian article online? Why are multimedia illustrations extremely rare on the online pages of Russian magazines? Why are the software tools serving online bibliographic references so poor?
The features of diagnosis, management and surgical treatment of recurrence of hydronephrosis in children
Authors:   Morozov Children's City Clinical Hospital, Moscow, Russian Federation, Lobach A.Yu. , Sharkov S.M. ,   Morozov Children's City Clinical Hospital, Moscow, Russian Federation,   I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation, Shmyrov O.S. ,   Morozov Children's City Clinical Hospital, Moscow, Russian Federation, Kondrateva T.A. ,   I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation
Published: August 2024

The review shows the Russian and foreign experience in the diagnosis and treatment of recurrence of hydronephrosis in children. The primary hydronephrosis is one of the most common congenital malformations of the urinary tract in children, and primary plastic surgery of the pelvic ureteral segment achieves positive results in 90-98% of cases. The article analyzes the tactics of management and the types of surgical treatment according to modern research, the effectiveness of endoluminal techniques remains controversial; most authors prefer laparoscopic reconstructive surgery on the pyelo-ureteral segment. Key words: anastomosis, hydronephrosis, laparoscopy, pyelo-ureteral segment, recurrence
Analisis Pengaruh Penyertaan Modal Negara (PMN) Dan Pertumbuhan Aset Terhadap Kinerja Keuangan Pada Bumn Dengan Ukuran Perusahaan Sebagai Variabel Moderasi
Authors: Irfan Bintang Firdausi  , Adam Zakaria  , Muhammad Yusuf
Published: August 2024

The purpose of this study was to empirically examine the effect of state equity participation and asset growth on financial performance in BUMN, with company size as a moderating variable. The sample selection in this study used the purposive sampling method. The data used in this study spanned five years, from 2018 to 2022. The number of BUMNs receiving PMN in the 2018–2022 period that fit the sample criteria was 11 companies multiplied by 5 years of observation, so the total research data was 55. Based on the results of the study, it can be seen that state capital participation has a positive and significant effect on financial performance, asset growth has a positive and significant effect on financial performance, company size does not moderate the effect of state capital participation on financial performance, and company size does not moderate the effect of asset growth on financial performance.