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We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…

Recently, it is inevitable to use numerical analysis methods for several geotechnical engineering problems solution due to the complexity of behavior characteristics of soil medium. In this study, numerical analysis methods that are used to obtain numerical …

Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …

This paper explores how intra-day volatility behaves across different weekdays during periods of major financial stress, focusing specifically on the S&P 500 and NASDAQ-100 indices. The analysis spans two significant market disruptions—the 2008 Global Financia…

The formation of architectural form is influenced by functional, economic, social, cultural, climatic, and environmental factors, along with construction and stability conditions. Stability is crucial in shaping form and ensuring durability against environment…

Otel işletmelerinde çalışanların kişisel özellikleri bireysel ve örgütsel çıktılarını doğrudan etkilemektedir. Çalışanların işlerini kendi özelliklerine göre şekillendirmesi ve aynı zaman diliminde birden fazla iş yapma özelliklerinin olması iş performanslar…

Healthcare fraud, waste, and abuse (FWA) are among the most significant drivers of financial inefficiency in healthcare systems worldwide, with estimates suggesting they contribute to as much as 10% of total healthcare expenditures. In the United States, these…

This study presents a comprehensive overview of biophilic design research that incorporates ecological considerations, specifically focusing on energy efficiency, thermal comfort, and sustainability. While biophilic design has traditionally emphasized human we…

The rapid growth of city populations and the increasing complexity of managing city infrastructure have led to the emergence of smart cities, which rely on advanced technologies to optimise urban services. However, one of the key challenges facing smart cities…

Solar photovoltaic (PV) systems are widely adopted for sustainable energy production; however, physical defects such as glass breakage significantly reduce panel efficiency and system output. In this study, a real-world case analysis was conducted on a 1003 kW…

Synchronous Reluctance Motors (SRMs) are defined as reliable electric motors. Although the history of this type of motor dates back a very long time, their usage areas have started to increase with the developments in power electronics in recent years. While t…

In the phases of hydrological model calibration, the impact of control parameters of optimization algorithms on the related fitness (cost) function (reaching the global solution correctly and expeditiously) is rather essential. These control parameters’ dynami…

Hardox çelikler mükemmel aşınma direncine sahip, ultra yüksek mukavemetli, kayma ve darbe aşınmasına karşı dayanıklı martensitik çeliklerdir. Madencilik ve inşaat mühendisliği endüstrisinde ağır makineler ana uygulama alanıdır. Bu çalışmada, Hardox 400 çeliğ…

Rubble of destroyed buildings in Turkey is a growing environmental problem, in Ankara only, there are 12 landfills to collect and store them. Adobe is a world common building material; many studies inferred its environmental qualities. This study examines th…

In this study, abrasive wear behaviors of Co-Cr-Mo alloy (ASTM F75) which is produced by casting method, were investigated. The prepared test samples were subjected to abrasive wear tests with different emery papers on the pin on disc wear device. In the abras…

Interior lighting profoundly affects health, perception, and comfort. This study investigates key lighting parameters—intensity, spectrum, exposure timing, and spatial layout—and their physiological and psychological effects. Based on scenario simulations, thi…

Stone arches have been among the important structures in architecture and engineering throughout history. However, they can be damaged over time due to environmental impacts, conditions of use and natural disasters. Therefore, modern strengthening methods are …

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data.  Real-world industrial datasets frequently exhibit signific…

Fossil fuels used by traditional internal combustion vehicles today are quite damaging to environment. Because of these fuels, global warming has reached a very dangerous point. However, fossil fuels are gradually depleting. Therefore, it is inevitable that el…