Organizations are increasingly using analysis to understand consumer buying habits in order to understand what type of promotional strategies work best for their products. This is due to the fact that digital platforms have a greater influence on a consumer's purchasing decisions. A complete quantitative approach is designed to understand the impac...

By M. Kalaivani, Arasuraja Ganesan, N. Arunfred, V. Aruna

Self-regulated learning is one of the most important constructs within the field of higher education that refers to the processes of planning, monitoring and evaluation of one's academic behavior under limited guidance from external sources. Even though there is an extensive amount of research dedicated to the topic, the contributions of the metaco...

By Malika Talipova, Marietta Karamyan, Shoira Urakova, Sirojjon Berdikulov, Inoyat Tuychieva, Nodira Kodirova, Oygul Teshabayeva, Nargiza Burieva

The issue of youth substance abuse persists as one of public health concern, and the current strategies targeting adolescents through messages related to danger and deficit frames have proven inconsistent in terms of effectiveness in the long term. This paper explores the theory of salutogenesis, which derives its origins from the model of health b...

By Saodat Julmatova, Marina Markendudi, Malika Umedzhanova, Muborak Akhmedova, Dilnoza Abdullayeva, Nargiza Sharifkhodjaeva, Nasiba Salikhova, Khurshid Makhammadiyev

This paper evaluates the influence of equity capital structure on the performance of the Vietnamese joint-stock commercial banks. The empirical study is based on the dataset comprising 30 commercial banks observed over the period 2015–2024, resulting in a total of 300 observations. To confirm statistical validity and the robustness of the emp...

By Vu Thuy Linh, Tran Thi Phuong Lien, Hoang Thi Kim Ung, Do Thi Van Dung

The proper functioning of static, rotating, and electrical equipment plays a vital role in ensuring the safety and uninterrupted production process within an oil refinery environment. In this research, an all-encompassing framework of an Equipment Health Score (EHS) will be formulated through a combination of lifecycle condition, operations data, m...

By Agustinus Pindoan Panjaitan, Ranu Fauzan, Eko Sunarno, Dedi Apriadi, Rachman Setiawan

Organizations that want to gain a competitive advantage have focused on customer retention. However, traditional approaches to customer relationship management do not account for changing customer behaviour in the digital realm. This work suggests the Virtual Consumer Twin Framework (VCTF) for customer retention and predictive marketing through del...

By V. Suganya, Priya Sethuraman, K. Latha, Kiruthiga Balasubramanian

Image segmentation plays an important role in medical diagnosis and recognition, but the traditional methods of multilevel thresholding have exponential computation complexity with the number of thresholds. The study corresponds to the necessity to have a computationally effective parameter-free optimization to support fast clinical decision-making...

By S. Anbazhagan, M. Karthika, S. Ramkumar, P. Nammalvar, P. Anbarasan, V. Krishnakumar

The stability of slope in unsaturated low plasticity soils is also a major issue particularly in areas where the level of water changes. This paper looks into how the Barcelona Basic Model (BBM) applies to the evaluation of the stability of a real slope that consists of low plasticity silt in the Chilca region, Peru. There was a complete characteri...

By Luis Roberto Valderrama Moscoso, Juan Antonio Gaona Rojas, Neicer Campos Vasquez, Enzo Luigui Pacahuala Rojas, Ruben Kevin Manturano Chipana

The Internet of Things (IoT) is a rapidly developing industry that currently requires effective monitoring systems to process data in real time and make decisions. In this paper, a new method of multi-hop signal transmission in the IoTs is suggested to be combined with dynamic feedback loops embedded in the Oracle APEX-based monitoring systems. The...

By Srikanth Reddy Keshireddy

The study will be conducted to complement the diagnosis of proximal caries lesions that are difficult to improve due to their location between the teeth, as shown in Near-Infrared Light Transillumination (NILT) photographs. It was proposed to enhance caries detection with a semantic segmentation model based on YOLOv11, which is more specific in det...

By Asma Alatawi, Wdaee Alhalabi, Hani Nassar, Arwa Basbrain, Hattan Jamalellail, Mohammed Alsadat