The study was conducted, to know the "Effects of Different Levels of Protein on Body Weight and Carcass Characteristics of Indigenous Chicken". The different levels of protein, 7.93 (T1), 16.8% (T2) and 19.05% CP (T3) were studied to assess its effects on the dry matter intake, growth performance and body weight gain as well as carcass characteristics.

When combined in a certain ratio, the effects of ampicillin and tapinanthusglobiferus demonstrated relevance in the treatment of diseases caused by Epulopiscium spp.The purpose of this study was to use broth microdilution and checkerboard techniques to examine the phytochemical content and assess the synergistic effects of amoxicillin and methanol leaf extract of T.globiferus grown on Tarminalia catappa against bacterial isolate.

Agriculture is the backbone of human existence because it provides the bulk of the world's food supplies and a variety of other raw materials. It's a major factor in the growth and prosperity of any country. It also provides them with several commercial opportunities. Improvements to the national economy depend critically on progress in the agricultural sector.

Time-consuming and labor-intensive, vision-based manual inspection equipment is required to discover and assess superficial damage to historic structures. Currently, professional equipment and in-situ visual assessment procedures are used to detect surface degradation at historic sites.

New topology suggested to compensate for the input fluctuations of a solar photovoltaic unit caused by variations in solar irradiation and to make the terminal voltage grid consistent with the required frequency, power electronic converters are utilized. Low power quality and excessive voltage stress are typical issues with traditional two-level converters.

Avionics systems have evolved at a very fast rate, thus improving the safety and performance of current-generation aircraft. Nevertheless, the progress results in higher complications and the need for more rigorous methods of verification to guarantee that these systems possess the maximum level of safety. To these challenges, Model-Based Verification (MBV) techniques have since turned out to be a critical method of providing solutions.

This paper seeks to compare the energy usage of HVAC systems in residential and commercial buildings. Through comparison of energy consumption data from an array of buildings of various sizes and use across different climates, the research is able to highlight the affecting parameters relating to energy, such as the size of the building, number of occupants, levels of insulation, and efficiency of the systems used in the building.

With the shift to digital solutions over the recent past and as more businesses turn to online platforms to conduct their operations, cyber insurance has become an essential product in handling risks arising from cyber risks. As such, this paper seeks to review the dynamics of data science in the context of cyber insurance because of the sophistication in the computation of cyber risks owing to analytics and machine learning models.

Real-time artificial intelligence (AI) is reshaping industries by enabling instantaneous data processing, decision-making, and system optimization. This paper explores the transformative potential of real-time AI across critical domains such as cybersecurity, healthcare, manufacturing, and financial services. It examines foundational frameworks, such as TensorFlow Extended (TFX), and emerging methodologies that support real-time data processing at scale.

The increasing adoption of electric vehicles (EVs) presents significant challenges and opportunities for energy management and infrastructure development. This paper explores the integration of artificial intelligence (AI) and machine learning (ML) in optimizing EV charging ecosystems. By analyzing data from charging stations, grid loads, and user behavior, AI and ML algorithms can enhance the efficiency, reliability, and sustainability of battery charging processes.