Recent developments in machine learning engendered many algorithms designed to solve diverse problems in countless scientific areas, particularly recognition structures such as speech recognition, text recognition, image recognition. In image recognition tasks, the experiments within limited computing and time constraints are challenging issue. In this paper, we have recognized different types of bird’s images and performance analysis of machine learning algorithms. Basic assembly of support vector machine, k-nearest neighbors, random forest and logistic regression are modified for experiments by defining relationships and adjusting different parameters. We have collected 3490 images of 22 types of bird’s and created our dataset and the dataset is adopted to extract the features and the algorithms are employed for recognition of the different types of bird’s images. The experimental results are discussed in terms of accuracy, Precision, recall and F1 score. While, the support vector machine better preforms as compared to the other three methodologies, whereas, KNN, RF and LR achieved more interesting results.

The policy brief highlights following: - • The contribution of Agriculture towards Uganda’s economic development • The social-economic benefits of Solar-powered irrigation system towards the various stakeholders, based on previous research observations • The Intervention that the government of Uganda is under taking to ensure a wide spread adoption of this technology In conclusion, it was worth noting that to fully realize the potential of these irrigation systems, it is crucial to address challenges related to financing, technical capacity, and policy support.

Aerospike installation on the forebody of a hypersonic rocket is one of the most challenging tasks. Small change in the structure may cause a great loss. This paper aims to design and develop an optimized structure of the aerospikes by varying the aerospike's frontal shape in order to reduce the drag acting on the forebody of a blunt nosed high-speed vehicle. The designs were done by using CATIA and the effect of air flowing over the blunt body are simulated numerically with the help of ANSYS Fluent. The simulations were carried out for different aerospike models by varying the aerodynamic structure of the aerospike. The coefficient of drag and its coefficients are estimated at zero-degree angle of attack and at a constant velocity of 1400 m/s by keeping pressure of 425 Pascal. Pressure contours and temperature contours are analyzed to find the pressure distribution and temperature distribution respectively. In addition, density and velocity contours are also studied. It is concluded from the results that the forebody with flat shape and cornered(fillet) edge aerospike model experienced less drag when compared with sharp edged and straight edged aerospike models.

Subsurface drainage is important to drain out excess waters and salts from low-lying waterlogged areas. In such a system, a web of porous tile pipes is buried in the soil to collect excess water from the soil and drain it out into drainage canals. Draining water from the production area under plastic houses and net houses would help farmers to solve the problem of highly saturated soil and can continue their production during the wet season. A study was conducted to ensure the on-farm impact of subsurface drainage system on the yield, soil properties, and economics of Chinese cabbage (Brassica Pekinensis L. Rupr.) production in the rainy season at Svay Rieng Province, Cambodia. The on-farm experiment was conducted with farmers in Svay Chrum District, Svay Rieng Province, Cambodia. The treatments consisted of three subsurface drainage (SD) systems under three growing conditions (GC) including open field (OF), net house (NH), and plastic house (PH) with five replications of 45 total plots. The results of the experiment revealed positive improvement in terms of the yield of the Chinese cabbage at a rate of 15% and 22% for SD2 and SD3 systems respectively; and 58% and 66% for NH and PH conditions respectively. Although, the results also showed that the change of soil chemical properties of soil samples analysis from pre and post subsurface drainage installation have indicated a slightly significant increase at a value of soil WHC: 6.04% and 6.23% for SD2 and SD3 systems; with WHC: 4.88% and 4.97% for NH and PH conditions respectively. On the contrary, the results from the soil samples have revealed the slightly decrease of chemical properties at a value of soil pH: 0.32 and 0.56, EC: 27.73 us/cm and 31.18 us/cm, CEC: 0.13 meq/100g and 0.17 meq/100g, available N: 0.32 mg/kg and 0.56 mg/kg, available P: 0.13 mg/kg and 0.14 mg/kg, and exchange K: 0.0055 mg/kg and 0.0060 mg/kg for SD2 and SD3 systems; with pH: 0.32 and 0.50, EC: 22.71 us/cm and 20.38 us/cm, CEC: 0.14 meq/100g and 0.11 meq/100g, available N: 0.32 mg/kg and 0.50 mg/kg, available P: 0.12 mg/kg and 0.118 mg/kg, and exchange K: 0.0042 mg/kg and 0.0039 mg/kg for NH and PH conditions respectively. The soil chemical properties could be interpreted at least the loss of N: 0.77 kg/ha and 1.34 kg/ha, P: 0.31 kg/ha and 0.34 kg/ha, and K: 0.013 kg/ha and 0.014 kg/ha for SD2 and SD3 systems; with N: 0.77 kg/ha and 1.20 kg/ha, P: 0.29 kg/ha and 0.28 kg/ha, and K: 0.010 kg/ha and 0.009 kg/ha for NH and PH conditions from the soil content respectively. Anyways, the economics analysis results still presented the positive improvement on net profits of the Chinese cabbage production at a rate of OF: 13.35% and 29.19%, NH: 28.48% and 48.09%, and PH: 27.51% and 40.82% for SD2 and SD3 systems in comparing with SD1 respectively. In the meanwhile, the increase of return on investment (ROI) of the Chinese cabbage production at a rate of OF: 6.38% and 20.31%, NH: 40.81% and 69.16%, and PH: 51.47% and 75.59%; with the increase of economic efficiency (EF) of the Chinese cabbage production at a rate of OF: 2.79% and 8.87%, NH: 15.36% and 26.04%, and PH: 16.30% and 23.94% for SD2 and SD3 systems were also improved in comparing with SD1 respectively. Consequently, the results suggest that the subsurface drainage systems provided a great benefit contribution to vegetable producers at the saturated fields in terms of a production period that can be extended from intermittent to year-round. The increasing and decreasing values of soil chemical properties in the soil content were slightly back and forth which would be uncountable to take into the account. However, the economics benefits of the subsurface drainage system indicated the high enormous profits, return on investment, and economics efficiency for vegetable producers. Thus, the vegetable producers should be recommended to grow their vegetables under the net house (NH) or plastic house (PH) to increase the productivity with more potential output price at rainy season to generate their daily incomes and livelihood.

Limited Regions of Countries Experience Corona Virus Deaths at High Death Rate. Predominant Factors Consistently Include Significant Pollution Emissions Concentrated during Annual Periods of Meteorological Temperature Inversions. Analysis evolution from (a) European country death data during spring 2020 in Torino Valley of Alps Mountains to (b) East of Appalachian Mountains USA to (c) Sao Paulo Brazil Valley to (d) Northern India of Himalayan Mountains to (e) countries on both sides of the Andes Mountains.

This study presented a secondary analysis of the National Assessment of Educational Progress (NAEP) dataset. The paper examined the influence of teacher discussions about goal setting and attainment with students and adjusting teaching strategies, on the impact of fourth-grade mathematics number properties and operations achievement scores. To gain a better understanding of the impact of teacher-related strategies on mathematics achievement of fourth-grade students, this study used a quantitative descriptive research design to analyze secondary data extracted from the 2019 NAEP data set. The findings of this study relative to fourth-grade students include: achievement results are not positively influenced by [1] an increased frequency teachers set goals with students, [2] an increased frequency teachers discuss student progress toward goals, [3] an increased frequency teachers discuss student current level of performances or [4] an increased frequency of teachers adjust teaching strategies to meet student needs. These findings indicate that teacher discourse related to student goal setting and adjusting teaching strategies do not have an impact on NAEP mathematics scores. Contrary to what has often been assumed, these research findings indicate discourse frequency between teachers and students regarding goals and academic progress is not an indicator of mathematics achievement.

This study presents an experimental invetigation on the influence of using a solar assisted geothermal-horizontal loop solar assisted heat pump on the performance, this was built using a traditional heat pump. Heat pump performance was tested in four seasons year round operation (heating and cooling). Palestine, as a developing country, confronts considerable energy issues. In this setting, renewable energy sources provide people renewed hope. Solar and wind energy, as is generally known, are substantial energy sources; however, both forms of energy are intermittent, unpredictable, and expensive to store. The aforementioned reasons make geothermal energy important and worthwhile to examine. The purpose of this research is to test a hybrid solar-assisted horizontal ground loop heat pump (SSHGLHP) in a temperate Mediterranean or semi-arid region. Such systems demonstrate practicality as a prospective and promising source of heating and cooling for residential buildings. The results indicated that the COP of a conventional electric heat pump increased from 3.5-4 to 7 in cooling mode. According to the economic analysis, suchsystems are feasible with a SPBP of 4 years.

DevOps has revolutionized the software development and deployment process, enabling organizations to deliver applications faster and more efficiently. However, this speed and agility can introduce security vulnerabilities if not managed effectively. DevSecOps, the integration of security practices into the DevOps lifecycle, has emerged as a critical approach to address these concerns. This research paper explores the principles, benefits, challenges, and best practices associated with DevSecOps. It delves into the key components of DevSecOps, including threat modeling, automated security testing, continuous monitoring, and incident response. Through case studies and real-world examples, we illustrate how organizations can successfully implement DevSecOps to build secure, resilient, and efficient software delivery pipelines.

The building sector accounts for approximately 40% of global final energy consumption, with residential buildings representing a particularly intensive share. In Iran, residential energy demand is nearly double that of comparable countries, despite the introduction of National Building Code Regulation No. 19, which emphasizes the importance of envelope insulation, glazing, and mechanical efficiency. This study addresses a critical omission in both research and regulation: the role of interior design in shaping energy outcomes. By integrating artificial intelligence (AI) methodologies with performance simulation, the research evaluates the impact of interior variables—including surface reflectance, furniture layout, window treatments, lighting systems, and flooring materials—on the energy efficiency of a prototypical 95-m² apartment in Shiraz. A hybrid methodology combines EnergyPlus simulations with a genetic algorithm supported by artificial neural network surrogate models to explore more than 5000 design configurations. The results demonstrate that AI-optimized interiors can reduce annual energy use intensity by 24.6%, decrease cooling demand by 29%, cut lighting energy by 41%, and modestly lower heating demand by 9%, while simultaneously improving spatial daylight autonomy by 63% and reducing predicted dissatisfaction from 15% to 10%. Sensitivity analysis establishes a hierarchy of influence, identifying surface reflectance, efficient lighting, and adaptive shading as the most impactful interventions. Robustness testing confirms the resilience of optimized solutions under variable infiltration and occupancy conditions. The findings reposition interior design as a central determinant of energy efficiency, challenge reductionist definitions that prioritize envelopes and systems alone, and demonstrate AI’s ability to balance competing objectives of efficiency, comfort, and daylight quality. The study concludes that extending Regulation No. 19 to include interior parameters offers a cost-effective and equitable pathway to improve performance across Iranian housing, democratizing efficiency while advancing national sustainability goals.