Background: Data centers are major energy consumers, with cooling systems accounting for a significant portion of operational costs and carbon emissions. Recent advances in artificial intelligence (AI) offer promising strategies for optimizing thermal management. However, a comprehensive overview of publication trends, thematic evolution, and collaborative networks in AI-enabled data-center cooling is lacking. Methods: We conducted a bibliometric analysis of 311 peer-reviewed articles retrieved from the Web of Science database, covering the period 2015–2024. Using VOSviewer and CiteSpace, we mapped annual publication trends, country-level contributions, co-authorship networks, co-citation structures, and keyword co-occurrence clusters. Burst-detection analysis identified emerging topics and their temporal dynamics. Results: Annual publications grew from 2 in 2015 to 80 in 2024, reflecting accelerating research interest. China (28 %) and the United States (25 %) led author-country instances, with strong bilateral collaborations. Co-occurrence analysis revealed 12 thematic clusters (modularity Q = 0.72, silhouette = 0.91), the largest of which focused on “reinforcement learning,” followed by “energy efficiency” and “free cooling.” The ten most frequent keywords—e.g., “data center cooling,” “machine learning,” “thermal management”—underscored the dominance of AI-driven control strategies. Burst analysis showed an early focus (2015–2018) on “neural network” and “genetic algorithm,” transitioning (2019–2024) to “reinforcement learning,” “deep reinforcement learning,” and, more recently (2022–2024), “digital twin” and “meta-learning.” Discussion: The field has matured from initial explorations of classical machine-learning algorithms to advanced, adaptive reinforcement-learning frameworks and simulation-based optimization. Real-world implementations—such as RL-based controllers deployed by major technology firms—demonstrate tangible energy savings. Future research should pursue multiobjective optimization, enhance digital-twin fidelity to bridge the sim-to-real gap, develop interpretable AI policies, and incorporate non-English literature and industry reports to broaden the knowledge base.

The study seeks to examine the use of time-out in water polo. For this, was analyzed it uses by coaches men's category in Water polo World Championship held in Melbourne, Australia 2007. All matches were recorded by a digital video camera, located in a central and elevated position on the midfield line. Subsequently, several observers unrelated to this study, which had been previously trained, analyzed all time outs using the software Polo Analisis Banquillo v1.0. The variables observed were the game period, the momentary results, the reason to apply, the previous and later situational framework, the immediate effect and the final score. It is observed that men's water polo coaches make more use of time-out in the last period, with an adverse score, after a temporary expulsion, being numerical equality to pass to inequality play, no goal is achieved and its requested further by the losing team.

In this experimental study, Aluminium (LM25) based boron carbide (B4C) graphite (Gr) and iron oxide (Fe3O4) particle reinforced hybrid composite materials were manufactured by stir casting. The tribological and mechanical properties of these composite materials were investigated. It is find that with an increase in the reinforcement content, the wear loss reduced monotonically with hardness and ultimate tensile strength decreased. The microstructure of this composite inspected and uniform distribution of reinforced particles in the matrix observed. Wear experiments conducted on pin-on-disc tester based three process parameters such as load, sliding velocity and distance; each varied for three levels. Loads of 10 N to 40 N, ; velocities of 2 m/s, 4 m/s, 6 m/s and distances of 1,000 m, 2,000 m, 3,000 m considered for analyzing the wear behavior of composite. Worn out surfaces of the composite specimen were analyzed using SEM for predicting the wear mechanism. The materials with ALMMCs have better wear characteristics. This study revealed that the addition of reinforcement significantly improves the wear resistance of aluminium composites. These entire results designate that the hybrid aluminium composites can be considered as an excellent material where high strength, ultimate tensile strength and wear-resistant components are of major importance, primarily in the aerospace and automotive engineering sectors.

In this work the performance analysis of Spoke type Permanent Magnet Synchronous Generator (S-PMSG) also called buried type Permanent Magnet Synchronous Generator is presented for aircraft application. The analytical design of the generator is carried out using design equations and it is verified by RMxprt software. The simulation analysis of the generator is performed by finite element analysis software. The coupled transient electromagnetic and thermal analysis of the generator is carried out to find the load voltage, load current, cogging torque, heat generation and thermal heat flow. Finally, the overall performance of the analytically designed generator is compared with the simulation

Katsuwonus pelamis (Linnaeus, 1758) popularly known as skipjack tuna is a fish of world economic importance, captured through artisanal fishing. The macroscopic morphology of the gonads identifies the primary sexual characteristics (ovaries and testicles) of fish without sexual differentiation and through the identification in histological study of the gametogenic development identifies the successive structural modifications of the reproductive system. That study is based in the analysis of the macroscopic anatomy and the histological structure of females of K. pelamis. In the macroscopic analysis was considered gonadal shape and length, coloring, degree of vascularization, volume, weight, membrane transparency, visibility of ova that characterize the stadiums of ovarian development. Six phases of oocyte development were considered, based in the cytological characteristics of the germ cells during the maturation process, and four maturation stages, determined by the histological structure of the ovary and the occurrence and frequency of the six oocyte phases: initial maturation, final maturation, mature and emptied. The presence of germ cell nests and oocytes in phases of development, suggests intermittent spawning, where it occurs during all year, and the oocyte development is classified as synchronous in more than a group.

This work presents results of a comparative study between penitentiary treatment for men and women in Mexico. Firstly, a documental review was made to estimate the differences in operation between men's and women's penitentiaries in Mexico; right away, we expose reactions of a focus group integrated by penitentiary personnel working in a women's correctional center. It was found that there exists a differentiated treatment between men and women in prison that does not seem naturally justified, nor juridically pertinent. Starting from the administration, a distinct treatment persists between male and female inmates. Even if men correctional facilities have been improving in last years, omissions, anti-constitutional practices and misstatements are still often seen in women correctional centers. Besides this, a comparative discourse is maintained among correctional officers, being more negative for those who work in women's penitentiaries, and transmitting a generalized feeling of abandon due to the lack of government support.

The important need of this proposal is from recent publish on using Nano fluids as working fluid on the heat transfer and pressure drop in shell and helical coiled tube heat exchanger. The colloidal suspension of Nano sized particles like metal; and metal oxide like water ethylene glycol which are base conventional fluid form the Nano fluid. On doing many researches, the heat transfer fluid was invented and modified with the help of MWCNT Nano fluid. Based on double helical coil heat transfer analysis is reviewed in this proposal.

In recent years, the advent of new technology has placed a great responsibility on learning to sustain our information society. This has given rise to various learning methodologies, with e-learning forming an integral part of the learning process. E-Learning is defined as learning by using electronic devices with learning content obtained from the internet or an educational application accessed through the device. E-learning is also defined as a guided approach towards self-learning. With this approach towards learning, self-learning is promoted and also the problem of isolation that is attributed to self-learning can also be mitigated. Virtual Reality is a concept that has grown in an exponential manner owing to the introduction and evolution of techniques and technology into the field of Virtual and Augmented Reality. Currently, simulations of real-world scenarios can be achieved with a high value of realism using the concept of Virtual Reality. This characteristic of Virtual Reality environments gives an advantage towards e-learning where the solution to real-world problems can be learned virtually. Gesture recognition is another technology that has seen a steady increase in popularity as a method of human-computer interaction. Specific gestures can be translated to perform specific tasks. With hand gesture detection devices like Leap Motion, gesture detection to communicate with an environment has become simplistic, and usable. Combining such technologies with the learning process provides a lucrative methodology which can be leveraged to simplify the process of learning. In this paper, VIRECAR an E-learning based VIRtual reality CAR simulator with gesture and touch recognition built to provide a cheaper and safer approach for learning to drive a car.