Consumption - Science topic

The aim of this Special Issue is to identify challenges and solutions related to the risks and uncertainties that arise in financial markets. It will feature papers on complex topics, exploring the following themes: *General equilibrium models in which the distinction between uncertainty and risk is formalized by assuming that there are several ty...

This article proposes reflections on the processes of deindustrialization and repurposing of former factories, railway stations, and port warehouses, as well as their impacts on the urban space, based on a survey and a mapping of industrial remnants in the city of Rio de Janeiro. The study is grounded on bibliographical and documentary research, an...

One of the key steps in the roundwood supply chain is the precise calculation of harvested timber volume, which is essential for billing. Measuring timber stacks manually is a time-consuming task for foresters. Recently, integrating LiDAR sensors into iPad Pro cameras has been suggested for measuring stacked timber. This study aimed to assess the a...

What are the effects of human-AI feedback loops on platformized consumption and “consumer culture” more broadly (Caliandro et al., 2024)? How does the accelerated temporality of online content consumption habits intersect with the predictive habits (and habitus) of machines (Airoldi, 2022)? In what ways can we trace and interpret the recursive inte...

This chapter tries to provide an overview of the latest trends and patterns of slow fashion consumption in the affluent market. Slow fashion consumption in affluent markets reflects a growing shift towards ethical, sustainable, and intentional purchasing habits, driven by increased awareness of environmental and social issues. It involves prioritiz...

The formation of AlN/AlGaN short period superlattices (SPSLs) was investigated though the introduction of a constant Ga overpressure during the metal modulated epitaxy (MME) growth of AlN. A combination of x-ray diffraction (XRD) and scanning transmission electron microscopy (STEM) analyses found that control over the Al composition in the AlGaN la...

When analyzing the battery consumption of mobile devices, one of the primary components considered is the display, which presents distinct consumption characteristics depending on the screen technology used. Furthermore, developing energy-efficient display technologies is critical, as they are a substantial source of smartphone battery consumption....

The concept of energy autarky, namely self-sufficient energy production and consumption, gained traction as states and other actors seek alternatives to centralised energy systems and conventional energy sources. This led to discussions about the potential for achieving autarky at various territorial levels, including national, regional, local, and...

Run-Length Encoding (RLE) is a fundamental data compression technique that represents consecutive occurrences of the same value, known as "runs", as a single value and its count. This paper provides a step-by-step encoding procedure for various types of Run-Length Encoding methods, including Standard Run-Length Encoding, Modified Run-Length Encodin...

The integrated energy systems (IESs) in buildings locally supply energy to users and reduce the different types of energy loss during transmission. IESs are inexpensive and highly reliable. However, IESs must simultaneously meet the demands of multiple load types, consider the thermal inertia of energy transmission, meet user comfort requirements,...

Natural communities display a rich variety of dynamics, including global stability, multistability, periodic oscillations, and chaotic fluctuations in species abundances. While phenomenological models (e.g., generalized Lotka-Volterra dynamics) can replicate these dynamic behaviors, understanding biological reasons behind the phenomena requires mod...

This paper explores the roles of passive and active devices in intelligent industrial automation. The study proposes a model for converting the volume energy density of passive components to the mass energy density and describes the use of highly miniaturized on-chip passive devices using coplanar waveguide structures. Additionally, the paper discu...

This report presents a comprehensive evaluation of selected cryptographic algorithms, specifically focusing on the Advanced Encryption Standard (AES) as the symmetric key algorithm and the Rivest-Shamir-Adleman (RSA) algorithm as the asymmetric key algorithm. The study explores the design principles, historical context, and practical applications o...

To reduce the fuel consumption of ships’ oceanic voyages, this study incorporates the influence of ocean currents into the traditional level set algorithm and proposes a route planning algorithm capable of identifying energy-efficient routes in complex and variable sea conditions. The approach introduces the influence factor of ocean current to opt...

Based on the applications of high-performance dividers in research and high-tech fields as well as their important roles in research, this paper summarizes the methods for improving the performance of high-performance dividers. Through the analysis of high-performance divider schemes, this study investigates the shortcomings of ordinary dividers, w...

Resumen: Este trabajo constituye un primer ensayo en el estudio de jarras hervidoras de pasta blanca en la península ibérica. Estos recipientes muestran similitudes macroscópicas con las jarras hervidoras de fabricación aquitana, procedentes del en-torno de la región de la Charente-Maritime, de lugares como Saintes, Soubran y Petit Niort. Se han se...

Nowadays, as many electronic products are moving towards increased portability and high reliability, higher demands are being placed on the various performance parameters of digital integrated circuits. Currently, digital integrated circuits are developing in the direction of low power consumption. Digital comparators are widely used in many areas...

Introduction Traditional speech separation algorithms used time–frequency (T-F) masks. Recently, deep neural networks, which are generally called deep learning, have been used to estimate T-F masks, and the separation performance has been improved owing to it. However, a conventional deep learning approach that achieved the high separation performa...

As the bones and muscles of our built environment, engineering structures support all kind of societal activities. However, they consume huge amounts of resources and significantly contribute to impact on our environment. Structural design codes play an important matter in this regard since they regulate the use of materials by use of prescribed de...

As the world grapples with the pressing challenge of sustainable development, it has become increasingly vital to understand the factors that influence consumption behavior. Generation Z, in particular, has emerged as a pivotal demographic in advancing sustainable consumption practices. This study investigates how Personal Norms, Social Norms, and...

The growing demand for controllable outputs in text-to-image generation has driven significant advancements in multi-instance generation (MIG), enabling users to define both instance layouts and attributes. Currently, the state-of-the-art methods in MIG are primarily adapter-based. However, these methods necessitate retraining a new adapter each ti...

This paper presents RL4CEP, a reinforcement learning (RL) approach to dynamically update complex event processing (CEP) rules. RL4CEP uses Double Deep Q-Networks to update the threshold values used by CEP rules. It is implemented using Apache Flink as a CEP engine and Apache Kafka for message distribution. RL4CEP is a generic approach for scenarios...

The development of materials from renewable resources has been increasing, intending to reduce the consumption of fossil sources, with terpenes being one of the main families that reduce the consumption of isoprene. The study of the binary catalytic system neodymium versatate/dibutyl magnesium (NdV3/Mg(n-Bu)2), for the coordination homopolymerizati...

Using a two-wave, longitudinal survey, this study examined the civic potential of news consumers, moving beyond consideration of how closely they follow political news to also consider the nature of their news consumption. Specifically, we conducted latent profile analysis and compared the emerging political news consumer profiles in their levels o...

The aim of this study is to present the impact of (economic conditions, social change, and the role of the city) in the development of selfishness. In this study, researchers seek to find a relationship between independent variables which is (urban life) and dependent variables which is (the development of selfishness). Therefore, the analytical me...

Neural architecture search (NAS) based on differentiable methods has made significant progress in both search cost (GPU-days and GPU memory consumption) and network performance. However, there still exists a large gap between the search and evaluation due to the unaffordable search cost, which will cause the searched architecture to be suboptimal i...

The water-ring vacuum pump is a crucial piece of negative pressure extraction equipment, extensively utilized in gas extraction and wind tunnel applications. While water-ring vacuum pumps offer numerous advantages, including safety and reliability, they also present drawbacks such as low efficiency and high energy consumption. The operational effic...

This study aims to review the theoretical and empirical effects of working time reduction (WTR) and compare them with workers’ expectations and experiences. A survey was conducted with 61 individuals working 40 h per week, 36 workers who had undergone WTR, and 47 managers. The results showed that all participants were in favor of WTR; managers pref...

Purpose: To examine the associations between mask-wearing on fluid consumption and physical activity behaviors during the COVID-19 pandemic. Methods: 137 college students (female, 72.5%; age, 26 ± 9 y) completed a survey detailing their fluid intake, physical activity behaviors, and time spent wearing a mask throughout the day during the previous m...

Accurate Short-Term Load Forecasting (STLF) is a critical task in managing and operating smart grids. Existing STLF methods primarily rely on mathematical modeling or neural networks, often struggle to effectively capture the correlations between influencing factors and load data, and frequently lack interpretability. To address these challenges, t...

Ramadan, a month of religious observance for Muslims, involves fasting from dawn to dusk. This prolonged fasting period can significantly impact physiological and psychological functions. This study aims to investigate the potential effects of consuming dates during the evening meal (Iftar) on heart rate variability (HRV) and brainwave activity in...

We introduce a method for improved loading into a single-atom optical tweezer array, utilizing iterative loading with multiple reservoir tweezers. Demonstrated with dual-wavelength tweezer arrays of Sr 88 atoms, our approach achieves a 96 % loading rate after four reload cycles. This method can significantly enhance existing tweezer rearrangement p...

As China's fitness industry evolves from infancy to maturity, the demand for fitness medications among gym participants continues to grow. However, the drivers and influences of this consumption behavior in the Chinese context have not been adequately studied. Based on the UTAUT2 model, this study constructed a research model suitable for fitness m...

Plastic bags consist of synthetic organic polymers that are produced for one-time usage to carry things around. They are lightweight, cheap for mass production and often distributed at no cost in places such as supermarket and shopping malls. There might be numerous factors that affect this increasing usage of plastic bags among the public. The ove...

Background Variability in the prescription of antibiotics constitutes an area for improvement related to patient safety issues, including the risk of infection and health care efficiency based on evidence. Objectives The study aims to evaluate the effect of an intervention to reduce the duration of antibiotic treatment in complicated appendicitis....

A major challenge in the extractive denitrogenation (EDN) of fuel oils lies in achieving high nitrogen removal efficiency with minimal extractant usage. To address this, a series of Cu‐based ionic liquids (ILs) ([Bmim]Cl/CuCl2‐X) with different cation‐to‐anion ratios were synthesized and characterized. The cation‐to‐anion ratio was found to be cruc...

الأهداف: تهدف هذه الدراسة إلى تحديد مفهوم اللحوم المستزرعة، وتاريخها، ودواعي استخدامها، وبيان كيفية إنتاج هذه اللحوم، وأبرز الآثار الصحية لاستهلاكها، وصولاً لاستنتاج الأحكام الشرعية المتعلقة بها. المنهجية: اتبع البحث منهج الاستقراء لمفهوم اللحوم المستزرعة وتاريخها ودواعي استخدامها، والآثار الصحية المترتبة عليها. واتبع البحث المنهج التحليلي لتحليل ا...

A plasma actuator with adjustable jet direction based on the combination of dielectric barrier discharge (DBD) and corona discharge is proposed and characterized for turbulent drag reduction applications. The results show that an oblique jet and corresponding vortex series are formed through the interaction of the vertical jet by corona discharge a...

Sodium‐ion batteries offer a promising alternative to lithium‐ion batteries by addressing ecological and economic challenges. However, to assess the applicability of these cells for different sectors, understanding aging behavior, including degradation modes, is crucial. This work presents a comprehensive aging analysis of 67 commercial sodium‐ion...

As society develops, people are gradually shifting from necessities to pleasure consumption. More and more people have enough time and money to improve their self-cultivation and aesthetic taste, so the number of art exhibitions has increased significantly. However, many of these exhibitions have problems, such as being unable to guarantee quality...

Noise is a major obstacle in current quantum computing, and Machine Learning for Quantum Error Mitigation (ML-QEM) promises to address this challenge, enhancing computational accuracy while reducing the sampling overheads of standard QEM methods. Yet, existing models lack physical interpretability and rely heavily on extensive datasets, hindering t...

Structural engineering is a promising approach to enhance the performance of racetrack devices in term of power consumption for domain wall dynamics and shift errors via the control of the in-plane shape anisotropy in magnetic nanowires. Because the in-plane shape anisotropy is determined by the nanowire width, it is essential to incorporate the wi...

This study presents a comparative analysis of browser-based security extensions, focusing on Celery Trap and leading anti-phishing tools. Phishing remains a prevalent cyber threat, prompting the need for robust protective measures. Celery Trap, designed to proactively defend against phishing and spear-phishing attacks, is compared to established an...

The study wishes to explore the specific impact of contract type and monthly expenditure on telecommunication customer churn. The study uses regression analysis to quantify the impact of these two independent variables on overall customer churn and analyzes the impact of contract type and monthly spending amount on customer churn for different cust...

Additive Manufacturing (AM) is increasingly used for the manufacture of parts in different industrial sectors and, therefore, it becomes relevant to evaluate the mechanical performance that can be achieved with this process and the possible impacts on the environment compared to traditional processes. In this paper, two alternative production metho...

The rapid proliferation of vehicles globally presents significant challenges to road transportation efficiency and safety, including accidents, emissions, energy utilization, and road management. Autonomous vehicle platooning emerges as a promising solution within intelligent transportation systems, offering benefits like reduced fuel consumption a...

As electronic devices become increasingly portable and mobile, how to extend the battery life of these devices while ensuring performance has become a great challenge for engineers. This paper studies the design of the basic circuit and how to balance the relationship between high speed and low power consumption, proposing an effective optimization...

Anthropomorphism, the attribution of human-like traits, qualities, and mental states to non-human agents, is increasingly ubiquitous in artificial intelligence (AI) applications within service provisions. While imbuing anthropomorphism into AI agents enhances user interaction, it also has a dark side that poses significant ethical concerns by poten...

The study investigated the possibility of using photovoltaic panels on passenger carriages to reduce electrical energy consumption. The first part discusses the possibilities of using solar energy under Polish conditions and presents the general parameters of selected solar panels. In the following section, the possibility of installing photovoltai...

The Internet of Things (IoT) connects countless devices, such as sensors and actuators, necessitating an efficient long-range communication technology. Low Power Wide Area Network (LPWAN) solutions, such as LoRAWAN, SIGFOX, and NB-IoT, address this demand. LoRAWAN, known for its low power consumption, excels in Line of Sight (LOS) conditions, offer...

In Ukraine, patients and their family members face numerous barriers to health care services. In response, they use coping strategies, that are manifold and complex activities aimed at overcoming these barriers, the financial burden of the treatment, and the poor quality of health care services. These activities include formal and informal practice...

Computerized Numerical Control (CNC) plays an important role in highly autonomous manufacturing systems with multiple machine tools. The necessary Numerical Control (NC) programs to manufacture the parts are mostly written in standardized G-code. An a priori evaluation of the energy demand of CNC-based machine processes opens up the possibility of...

Diante os desafios enfrentados pelo sistema prisional brasileiro no que diz respeito ao acesso do preso à educação, um direito estabelecido por legislação nacional e tratados internacionais, este artigo apresenta uma pesquisa bibliográfica realizada como parte de uma pesquisa de mestrado com foco nas práticas de ensino no método APAC (Associação de...

We previously proposed a Consumption Performance Sustainability Index to assess the sustainability of additive manufacturing products made by Fused Filament Fabrication. For simplicity and to get broader applications, the index was defined as dimensionless and composed of several factors related to the manufacturing process. The index included mate...

With the increasing electrification of mobility and the associated growing demand for electric machines, issues of efficient and resource-saving production and operation are becoming ever more central. Therefore, it is important to optimize the design of components, materials and the assembly of electric machines. An example, described in the paper...

Resource and environmental issues are common challenges faced by mankind, and it is a common choice for global economies to promote green growth and implement a new green deal. Based on the current situation that developing countries are in the stage of high input, high consumption and high emission development, this paper analyzes the challenges o...

Hydrogen is emerging as a critical component in the global energy transition, providing a low-carbon alternative for sectors such as industry and transportation. This paper aims to comprehensively address water usage in hydrogen production by exploring the water demands of different production methods and their implications for water management, pa...

The botanical kingdom offers opportunities to find new beverage ingredients using various techniques [...]

Our knowledge about the consumption of cannabinoids during pregnancy lacks consistent evidence to determine whether it compromises neurodevelopment. Addressing this task is challenging and complex since pregnant women display multiple confounding factors that make it difficult to identify the real effect of cannabinoids’ consumption. Recent studies...

3D Gaussian Splatting is a recognized method for 3D scene representation, known for its high rendering quality and speed. However, its substantial data requirements present challenges for practical applications. In this paper, we introduce an efficient compression technique that significantly reduces storage overhead by using compact representation...

In this work, a high-performance AlGaN-channel Schottky barrier diode with high breakdown voltage of 2.23 kV defined at anode leakage current of 1 μA and high power figure-of-merit of 614 MW/cm² is demonstrated. Anode voltage (VA) with a clear linear relationship as a function of temperature from 300 to 525 K shows great potential for temperature s...

Aiming at the problem of insufficient power supply of charging stations caused by the access of large-scale plug-in electric vehicles, under the framework of multi-agent system, a distributed fixed-time optimal charging strategy based on event triggering is proposed. Firstly, a distributed consensus protocol is designed by combining the principle o...

Objective: To compare the influence of core strength training combined with sensory integration training and routine rehabilitation training on the walking ability of children with cerebral palsy, and to provide a basis for the selection of reasonable rehabilitation training for them. Methods: Thirty children with cerebral palsy aged 7–12 years wer...

The purpose of this research is to examine the influence of traditional energy, ecological footprint and renewable energy on carbon dioxide (CO2) emission in Pakistan. The regression model was used in this study to analyze the connection between the modeled variables using data from 1990 to 2022. The research discovered that although renewable ener...

This study estimated the economic value of international fisheries observer programs for Korean distant water fisheries using the contingent valuation method (CVM). The model included economic factors, socio-demographic variables, and proxy variables that reflected participants’ familiarity with seafood consumption. An online survey was conducted w...

Electrical data analysis based on smart grids has become a fundamental tool used by electrical grid stakeholders to understand the energy consumption patterns of users, although many proposals in this area do not consider reactive energy as another source of useful information regarding distribution costs and threats to the grid. In this regard, th...

Development of rapid and simple detection method holds great significance for the prevention and control of Staphylococcus aureus . Herein, the SELEX method was utilized to screen new aptamers for S. aureus . The double aptamers combined recognition target strategy were adopted to enhance specificity, and magnetic bead target enrichment and the rol...