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The main purpose of this paper is to find the most effective method for the normalization of a final set of diagnostic variables for indirect consumption research with the use of synthetic consumption measures. The chose...

Abstract Background Evidence regarding optimal treatment duration in dogs with aspiration pneumonia (AP) and the role of thoracic radiographs (TXR) and lung ultrasonography (LUS) in the long‐term follow‐up of affecte...

Scattering-type scanning near-field optical microscopy (s-SNOM) and Fourier transform infrared nanospectroscopy (nano-FTIR) are emerging tools for physical and chemical nanocharacterization of organic and inorganic compo...

In the face of the global financial crisis, central banks have used unconventional monetary policy instruments. Firstly, they implemented the interest rate policy, lowering base interest rates to a very low (almost zero)...

Vehicle Re-identification (Re-ID) has become extremely important due to the increasing number of vehicles on the road and its potential to address traffic-related challenges. As a result, there is also a growing need for...

Objetivos - Obtener la información del procedimiento de soldeo por arco bajo gas protector con electrodo consumible, para seleccionar los materiales, los equipos o las herramientas, entre otros, interpretando las especi...

In the face of socioeconomic challenges, this paper develops and empirically demonstrates the Gondauri Index (GI) as a reproducible, diagnostics-first composite framework for benchmarking macro-financial resilience acros...

ABSTRACT The objective of the present study was to evaluate the stability of candidate reference genes and select the genes that can be used for normalizing real-time polymerase chain reaction (PCR) in the liver, skeleta...

Abdulsalam Ahmed Mohamed,1,2 Abdullahi Abdirahman Omar,1 Fartun Abdullahi Hassan Orey2,3 1Department of Ophthalmology, Dr. Sumait Hospital, SIMAD University, Mogadishu, Somalia; 2Department of Medicine and Surgery, Facul...

Reliable beat-level arrhythmia detection from electrocardiogram (ECG) signals is essential for continuous patient monitoring. However, many existing deep learning models remain computationally expensive and are sensitive...

Airborne LiDAR enables direct measurement of canopy height and three-dimensional forest structure, but many LiDAR-based studies remain difficult to reproduce due to ad hoc processing decisions and limited pipeline transp...

Abstract The Error Diffusion Learning Algorithm (EDLA) is a learning scheme that performs synaptically local weight updates driven by a single, globally defined error signal. Although originally proposed as an alternativ...

Abstract The relationship between the built environment and human emotional experience has received increasing attention in architectural and urban research. This study aims to collect fundamental background data from a ...

Abstract Background Evidence indicating the optimal treatment protocol for dogs in adrenal crisis is lacking. Objectives Compare outcomes of dogs presented in adrenal crisis treated with either hydrocortisone (HC) contin...

Abstract Biochar yield prediction plays a critical role in optimizing pyrolysis processes and advancing sustainable biomass utilization. This study introduces a hybrid machine learning framework that integrates Decision ...

Revising the discussions made by Georges Canguilhem and Michel Foucault, this study was intended to characterize the conceptual construction of “mental illness” as fully related to social rules. The concept of “ill...

Abstract Gearbox condition monitoring (CM) plays a significant role in ensuring the operational reliability and efficiency of a wide range of critical industrial systems such as wind turbines and helicopters. Accurate an...

Spark detection in distribution line videos remains challenging due to weak visual saliency, multi-scale variation, and complex environmental interference. To address these issues, this paper presents an enhanced Swin Tr...

Abstract Autonomous driving systems critically rely on the precise detection of distant, small traffic signs to ensure safe and efficient navigation. Nonetheless, existing detection algorithms are confronted with several...

Sosial media dengan platform twitter menjadi hal menarik untuk diteliti. Trending topik tersebut menghasilkan komentar masyarakat Indonesia yang mengandung opini berupa emosi. Penelitian ini mencoba menganalisis opini di...

Abstract A comparative description is made of the measurements at LHC of pp elastic scattering at 13 TeV by the ATLAS and TOTEM Collaborations. In the total and differential cross sections we show that the differences ar...

Abstract Feline infectious peritonitis (FIP) is caused by a mutant biotype of the feline enteric coronavirus. The resulting FIP virus (FIPV) commonly causes central nervous system (CNS) and ocular pathology in cases of n...

Microbiological quality is a key parameter in ensuring the safety and overall integrity of fishery products. One of the primary indicators in microbiological testing is the Total Plate Count (TPC), locally known in Indon...

This study presents an aspect-based sentiment analysis of tweets related to extreme weather events in Indonesia, utilizing the Long Short-Term Memory (LSTM) model. The dataset was obtained through a Twitter crawling proc...