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Found 6374 publications

Liver Cancer Classification Approach Using Yolov8

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1176 LNNS

Issue: Unknown

Page Range: 14-21

Description:

Liver cancer is a common and often fatal disorder that is becoming more commonplace worldwide. An accurate and timely diagnosis is necessary for both effective treatment and patient survival. In machine learning techniques, particularly deep learning, obtaining a large and diverse dataset is still a challenge for deep neural network training, particularly in the medical industry. This paper presents a classification of circulating tumor cells based on the YOLOv8 algorithm. Tumor cell identification and classification can be achieved by utilizing the algorithm’s multi-layer high-level stacking, weight sharing, local connection, and pooling characteristics. The goal is to design a liver cancer classification system that makes it easier and increases the efficiency of doctors in analyzing the results of liver cancer. The models show the absolute the accuracy is 100%, 100%, 98%, 96% to Yolov8n, Yolov8s, Yolov8m, and Yolov8l respectively.

Open Access: Yes

DOI: 10.1007/978-3-031-73997-2_2

THE COLLECTOR'S HOUSE,| ALGARVE, PORTUGAL; ARCHITECTS: ATELIER DATA

Publication Name: Metszet

Publication Date: 2025-01-01

Volume: 16

Issue: 5

Page Range: 26-31

Description:

Portuguese architecture's contextualist engagement continues the legacy of the 1950s folk architecture survey (Inquérito), shifting from explicit regional-ism to a more abstract influence. A key example is Atelier Data's conversion of an 18th-century Franciscan chapel in Moncarapacho, Algarve, into a galle-ry. Honoring the building's sacred past using traditional materials (whitewash, terracotta) while introducing a massive three-flight ramp as the main inter-vention. This ramp dramatically extends the exhibition path, creating a new in-ternal landscape that contrasts with the dark-toned rear addition, showcasing a modern connection to place.

Open Access: Yes

DOI: 10.33268/Met.2025.5.2

Temporal and Spatial Effects of COVID-19 Pandemic on Food Waste Generation in the European Union

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 37-42

Description:

The COVID-19 pandemic has had significant socioeconomic and environmental impacts, substantially altering food production, consumption, and waste generation trends across the European Union. This study examines the temporal and spatial fluctuations in food waste generation among European Union member states during the COVID-19 pandemic, focusing on six key food waste parameters. The data analysis revealed that the total amount of food waste did not undergo significant changes during the 2020-2022 period. The proportion of food waste generated by household activities was the highest in 2021, which aligns with the increased time spent at home by the population. The proportion of food waste from retail and other food distribution channels, as well as restaurants and food services, exhibited a steadily increasing trend over the study period. The detailed results highlight differences in food waste generation dynamics, with varying degrees of impact across European Union countries. This suggests not only differential policy effectiveness, but also the influence of diverse socioeconomic factors, individual and community habits.

Open Access: Yes

DOI: 10.3303/CET25121007

Socio-demographic correlates of financial risk-taking, diligence and satisfaction of the population, 2022

Publication Name: Teruleti Statisztika

Publication Date: 2025-01-01

Volume: 65

Issue: 4

Page Range: 474-501

Description:

The study examines the relationship between financial diligence, risk tolerance, and financial situation assessment, as well as their correlations with various socio-demographic factors. The authors used the 2022 Hungarian dataset from the OECD’s (Organisation for Economic Co-operation and Development) recurring international financial literacy survey for their analysis. The results indicate that respondents generally monitor their finances carefully, tend to avoid risks, and report low levels of satisfaction. A moderately strong positive relationship exists between the dimensions of financial behavior. This suggests that both diligence and appropriate risk management are crucial for financial awareness and contribute to financial satisfaction. Through cluster analysis, ten well-distinguished groups were identified differing in financial behavior and attitudes. Differences between the clusters highlight that socio-demographic factors – such as age, income, type of residence, and employment status – fundamentally influence individuals' financial decision-making.

Open Access: Yes

DOI: 10.15196/TS650403

The International Legal Personality of the Austro-Hungarian Empire: Hungarian Perceptions

Publication Name: Journal on European History of Law

Publication Date: 2025-01-01

Volume: 16

Issue: 2

Page Range: 120-127

Description:

International legal personality originally appeared as an attribute of states, however, from the 19th century onwards, other entities were also considered to have it. Regarding the international status of the Austro-Hungarian Empire, created by Austria and Hungary in the 1867 Compromise, different views emerged. Although the Monarchy appeared as a contracting party in most of the international agreements concluded by Austria and Hungary during the dualist era, the majority of Hungarian legal literature disputed whether the joint entity would be a separate member of the international community. The Hungarian position was primarily determined by the so-called public law-oriented thinking governing the relationship with Austria, which saw the recognition of the Empire’s international legal personality as a questioning of the country’s independence.

Open Access: Yes

DOI: DOI not available

URBAN TOPOGRAPHY

Publication Name: Metszet

Publication Date: 2025-01-01

Volume: 16

Issue: 4

Page Range: 18-23

Description:

EDP PROTUGAL OFFICE BUILDING, LISBON, PORTUGAL ARCHITECT: ALEJANDRO ARAVENA Located on the heterogeneous, redeveloping Tagus riverfront in Lisbon, the second phase of the EDP headquarters by Alejandro Aravena's firm, ELEMENTAL, presents a powerful exercise in civic and environmental responsibility. Standing in dialogue with the project's first phase by Aires Mateus, this new office building adopts the established perpendicular-to-the-river site plan but reinterprets it with a profound focus on the public realm. Manifesting a dual-character structure: a transparent, glazed facade houses the workspaces, while a heavy, monolithic concrete mass confronts the city, sculpted to function as a piece of urban topography. This robust, rock-like form, conceived as infrastructure akin to ancient city walls, defines a new sloping public space that invites the city's lively circulation inward and culminates in a cantilevered viewpoint over the river. The building’s massive concrete structure acts as a thermal mass for passive cooling, while the interiors contrast the stark exterior with warm use of wood. The project is thus a complex architectural statement that is both a sculptural object and an integrated piece of the urban fabric, designed to prioritize public life and social interaction.

Open Access: Yes

DOI: 10.33268/Met.2025.4.3

Mathematical Simulation for Influence of Thermocapillary Radiative MHD Unsteady Couple Stress Ternary Hybrid Nanofluid on Stretching Parallel Surface

Publication Name: Contemporary Mathematics Singapore

Publication Date: 2025-01-01

Volume: 6

Issue: 6

Page Range: 7636-7653

Description:

This study aims to provide a thorough mathematical simulation of the effects of heat radiation and thermocapillarity on the time-dependent flow of couple stress ternary hybrid nanofluid across a stretching parallel surface in magneto-hydrodynamics. The ternary hybrid nanofluid consists of Ag, TiO2, Al2O3 nanoparticles dispersed within a base fluid, blood, enhancing its thermal performance. The governing partial differential equations are converted into a system of nonlinear ordinary differential equations by applying the proper similarity transformations to model the flow’s unstable behavior. After that, the Homotopy Analysis Method is used to solve these equations semi-analytically. The intricate interactions between radiative heat transport, thermocapillary forces induced by surface tension gradients, Lorentz force from the applied magnetic field, and couple stress effects are all captured in the simulation. The influence of main dimensionless parameters, including the magnetic parameter, couple stress parameter, nanoparticle volume fractions, dimensionless film thickness, unsteady parameter, thermal radiation parameter and Eckert number, on velocity profile, temperature profile, skin friction and Nusselt number in the form of graphs. According to the results, radiation improves the properties of heat transmission, whereas thermocapillarity dramatically changes the flow and thermal boundary layers. Furthermore, the fluid velocity is suppressed by the occurrence of magnetic fields and couple stress, providing information about possible control mechanisms in thermal management systems. The results’ graphical and tabular representations demonstrate how sensitive the temperature and velocity fields are to the physical parameters at play. These findings offer significant new insights into thermal management technologies and energy systems that employ complex nanofluid compositions.

Open Access: Yes

DOI: 10.37256/cm.6620257996

Pathway Optimization for Low-Carbon Plastic Waste-to-Hydrogen Production with Flexible Feed Composition Using a Regression Model

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 120

Issue: Unknown

Page Range: 169-174

Description:

Conversion of plastic waste into hydrogen is a potential solution to address the issues of growing demand for hydrogen and the massive accumulation of plastic waste simultaneously. However, most studies on plastic-to-hydrogen technology selection were based on predetermined plastic waste composition, limiting their applicability to dynamic real-life operations. To address this, this work introduces a flexible optimisation model capable of accommodating varying compositions of plastic waste. With the aid of regression models, the optimisation model can optimise the plastic-to-hydrogen production pathways, considering economic and environmental performances, without the constraints of specific plastic waste types or mixture compositions. Regression models are developed based on the ultimate analysis data (carbon, hydrogen, nitrogen, oxygen, and sulphur content) to estimate hydrogen yield and purity across various pathways. Thereafter, fuzzy optimisation is employed to identify the trade-off between cost and environmental impact. In addition to the selection of optimal plastic waste-to-hydrogen pathways, the model also considers different purification technologies that can improve the hydrogen purity to various extents. The model demonstrated that pyrolysis-steam reforming combined with PSA is capable of achieving hydrogen purity of 99.999 % with a highest overall satisfaction of 0.7141 (equivalent to total cost of 3.43 M$ and emissions of 528,647 kg CO2/y) while pyrolysis-catalytic decomposition is more suitable to produce hydrogen with lower purity (55 %).

Open Access: Yes

DOI: 10.3303/CET25120029

Challenges and Implications of Pedestrian Yielding Compliance in Thailand and Laos: A Field Study Analysis

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 120-131

Description:

In Thailand and Laos, drivers frequently disregard international road traffic regulations, particularly the mandate to yield to pedestrians. This behavior compels pedestrians to rely on their judgment to assess safety gaps and cross independently, as drivers often do not prioritize them. Interestingly, many pedestrians choose to cross the road outside of designated crossings, which may reflect an adaptive behavior rooted in local cognitive and cultural contexts. In contrast, European countries have well-defined and strictly enforced regulations that require drivers to yield to pedestrians, resulting in safer pedestrian experiences. However, in Thailand and Laos, the lack of effective enforcement and compliance leads to hazardous pedestrian crossings. The disparity in pedestrian safety between these regions can be partly attributed to cognitive and behavioral factors, such as risk perception, learned behaviors, and cultural norms, which influence both pedestrian and driver actions. This study employed the field study method to analyze driver yielding rates at 12 locations in Udon Thani, Thailand, and Vientiane, Laos. Data collection encompassed traffic flow in both directions and was conducted under typical weather conditions on a standard working day, focusing on the rate and type of yielding by drivers. The findings reveal a minimal proportion of drivers who yield to pedestrians, with some locations exhibiting particularly low compliance rates. While a zero yielding rate theoretically increases road capacity by allowing continuous vehicle flow, it also endangers pedestrians, leading to potential accidents that can disrupt traffic flow. This situation underscores the need to consider cognitive and behavioral dimensions, such as how drivers perceive pedestrians and the habitual actions of both groups, in road design and traffic management policies. An understanding of these cognitive and behavioral aspects, alongside local cultural practices, is crucial for developing effective safety campaigns and infrastructural improvements that can enhance pedestrian safety in these regions.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_12