La crisis económica mundial y la India: un análisis

La actual crisis económica mundial se manifiesta en diferentes formas y presenta muchos retos y también muchas oportunidades, si bien todavía es demasiado pronto para predecir resultados concretos. Sin embargo, cabe destacar que el sistema internacional y el concepto de poder como tal están protagonizando un cambio. Este hecho tiene importantes implicaciones para el mundo en vías de desarrollo. La crisis financiera tiene varias implicaciones geopolíticas para la India en particular. Decir que la economía y la política están íntimamente relacionadas puede resultar un tópico pero, sin embargo, la actual crisis financiera mundial nos lleva reconsiderar esta afirmación. La crisis financiera que sufre el sistema internacional en la actualidad tendrá graves implicaciones geopolíticas: por ejemplo, ha supuesto la aparición de nuevos actores internacionales como la India y China. Sin embargo, queda por ver la medida en que un país como la India puede convertir los retos provocados por la crisis en oportunidades

Comparative analysis of explainable artificial intelligence models for predicting lung cancer using diverse datasets

Lung cancer prediction is crucial for early detection and treatment, and explainable artificial intelligence (XAI) models have gained attention for their interpretability. This study aims to compare various XAI models using diverse datasets for lung cancer prediction. Clinical, genomic, and imaging data from multiple sources were collected, preprocessed, and used to train models such as logistic regression (LR), support vector classifier (SVC)-linear, SVC-radial basis function (RBF), decision tree (DT), random forest (RF), adaboost classifier, and XGBoost classifier. Preliminary results indicate that RF achieved the highest accuracy of 98.9% across multiple datasets. Evaluation metrics such as accuracy, precision, recall, and F1 score were utilized, along with interpretability techniques like feature importance rankings and rule extraction methods. The study's findings will aid in identifying effective and interpretable AI models, facilitating early detection and treatment decisions for lung cance

TCAD Simulations and Small Signal Modeling of DMG AlGaN/GaN HFET

This article presents extraction of small signal model parameters and TCAD simulation of novel asymmetric field plated dual material gate AlGaN/GaN HFET first time. Small signal model is essential for design of LNA and microwave electronic circuit by using the proposed superior performance HFET structure. Superior performances of device are due to its dual material gate structure and field plate that can provide better electric field uniformity, suppression of short channel effects and improvement in carrier transport efficiency. In this article we used direct parameter extraction methodology in which S-parameters of device were measured using pinchoff cold FET biasing. The measured S-parameters are then transformed into Y-parameters to extract capacitive elements and then in to Z-parameters to extract series parasitic elements. Intrinsic parameters are extracted from Y-parameters after de-embedding all parasitic elements of devce. Microwave figure of merits and dc performance are also studied for proposed HFET. The important figure of merits of device reported in the paper include transconductance, drain conductance, current gain, transducer power gain, available power gain, maximum stable gain, maximum frequency of oscillation, cut-off frequency, stability factor and time delay. Reported results are validated with experimental and simulation results for consistency and accuracy

Prevention in Healthcare: An Explainable AI Approach

Intrusion prevention is a critical aspect of maintaining the security of healthcare systems, especially in the context of sensitive patient data. Explainable AI can provide a way to improve the effectiveness of intrusion prevention by using machine learning algorithms to detect and prevent security breaches in healthcare systems. This approach not only helps ensure the confidentiality, integrity, and availability of patient data but also supports regulatory compliance. By providing clear and interpretable explanations for its decisions, explainable AI can enable healthcare professionals to understand the reasoning behind the intrusion detection system's alerts and take appropriate action. This paper explores the application of explainable AI for intrusion prevention in healthcare and its potential benefits for maintaining the security of healthcare systems

Optimising Interactive Cloud Gaming for Mobile Learning: GPU Virtualisation, Codec Efficiency, and UI Design

Mobile learning environments increasingly demand sophisticated interactive technologies capable of delivering engaging educational experiences while overcoming traditional hardware limitations. This integrative literature review examines cloud gaming infrastructure advancements for mobile learning. Results from both technical research and practical educational experiences are compared to understand how technology supports learning. Analysis reveals that hardware-assisted GPU virtualisation frameworks achieve substantial performance improvements on mobile devices, enabling sophisticated educational simulations. Video codec optimisations significantly reduce latency and bandwidth consumption, while touchscreen controls and haptic systems enhance learning effectiveness. Recognition of pedagogical innovations across different domains highlights their tremendous potential. STEM simulation platforms utilising molecular modelling and mathematical visualisation demonstrate significantly higher student engagement. Medical training applications enable learners. Collaborative learning environments facilitate enhanced problem-solving through shared virtual spaces, while language learning applications demonstrate superior vocabulary retention. The analysis establishes cloud gaming infrastructure as a transformative enabler for mobile learning, democratising access to sophisticated educational tools

Identifying Causal Structures from Cyberstalking: Behaviors Severity and Association

This paper presents an etiological cyberstalking study, meaning the use of various technologies and internet in general to harass or to stalk someone. The novelty of the paper is the multivariate empirical approach of cyberstalking victimization that has received less attention from the research community. Also, there is a lack of such studies from the causal perspective. It happens, since in most of the studies, a priority is given on a single causation identification, whereas the data examination used for mining causal relationships in this paper presents a novel and great potential to detect combined or multiple cause factors. The paper focuses in the impact that variables such as age, gender and the fact whether the participant has ever harassed someone, is related to the fact of being victim of cyberstalking. The research aims to find the causes of cyberstalking in high school’s teenagers. Furthermore, an exploratory data analysis has been performed. A weak and moderate correlation between the factors on the dataset is emphasized. The odds ratio among the variables has been calculated, which implies that girls are twice as likely as boys to be cyberstalked. Similarly, concerning outcomes related to cyberstalking frequency recidivism are noticed

Vaman Karma in Yauvan Pidika (Mukhdushika) w.s.r. to Acne Vulgaris : A Case Study

Face is considered as an important part of the body as far as beauty and look is concerned. Hence, everyone in general and youngsters in particular are very cautious about beauty of their face. Acne vulgaris (A.V) is a disease of the pilosebaceous origin that causes non-inflammatory lesions (papules, pustules and nodules) and varying degrees of scarring. In Ayurveda Yauvanapidika (Acne vulgaris) is such a condition that disfigures the face during adolescent to younger age. If the condition remains untreated, it leaves permanent scars over the face. According to Ayurveda, vitiation of Kapha Dosha, Vata Dosha and Rakta Dhatu lead to development of Mukhadushika or Yauvanapidika which have resemblance with acne vulgaris in modern texts. Both modern and Ayurvedic sciences have considered the use of topical as well as oral medicines and their combination for the management of acne vulgaris. No doubt modern medication provides quick relief from acne vulgaris but cause noticeable side effects. Nowadays herbal formulations and Ayurvedic therapy are the superior choices for cosmetic purposes among the most of the population. So, the aim and objectives of this article is to minimize the side effects of Allopathic medicine in Acne vulgaris (A.V) as well as to popularized the Vamana therapy (one of the procedures of Panchakarma therapy) by a case study of 25 yrs old female patient having complaints of recurrent erythematic papules and pustules along with dark spots on her face. She was given Shodhana Therapy (Vamana therapy) and then Shaman Chikitsa (Panchkol Phanta, Chitrakadi Vati, Liv 52 DS). She got good result in Yauvanapidika (Acne vulgaris)

A STUDY ON OJAS AND OJAKSHAYA IN ETIOPATHOGENESIS OF MADHUMEHA (DIABETES MELLITUS)

Ojas is considered as essence of seven Dhatus or equivalent to Bala or Sleshma. Ojas can also be considered as living radiant energy present in human body. In Ayurveda literature the term Oja is not clearly explained by Ayurveda community. The classical Ayurveda text describes Ojakshaya as one of the Ojavikara which may be prevalent in various diseases. The pathogenesis of Madhumeha (Diabetes Mellitus) also describes this phenomenon. The prevalence of Oja kshaya can be clinically evaluated in the patients of Madhumeha and the same if kept in mind during treatment may arrest the further progress of the disease to complications like Diabetic Retinopathy, Neuropathy etc. In Ayurveda classics Ojakshaya is described in relation of Madhumeha. So, there will be prevalence of Ojakshaya in patient of Madhumeha (Diabetes Mellitus). Therefore, in this review article an attempt is made to understand the concept of Oja and Ojakshaya in diabetes mellitus

Recovery of metal values from spent nickel-cadmium rechargeable batteries by solvent extraction route

Spent Nickel cadmium batteries are classified as hazardous waste due to the presence of toxic cadmium in high concentration. Recycling of metal value by environmentally friendly process is the best option to obtain economical advantage and prevent environmental pollution. In the present investigation, a metal separation scheme is proposed for recovery of cadmium, nickel and cobalt from the leach solution of Ni-Cd battery electrode materials. After removal of the external case, the electrodes were washed with water to remove adhered alkali and dissolve in sulphuric acid in presence of a suitable additive. The iron from the leach solution was removed by selective precipitation and the iron free leach solution of composition: Ni:18.63 g/L, Cd:17.24 g/L, and Co:1.89 g/L was subjected to solvent extraction for separation of cadmium, cobalt nickel using phosphoric acid based extractants. Initially di-(2-ethyl hexyl) phosphoric acid (D2EHPA) and cyanex 302 were used to extract cadmium selectively, followed by cobalt and nickel separation using PC 88A, Cyanex 272 of suitable composition. Effect of different parameters such as equilibration time, pH aqueous feed, solvent concentration, organic to aqueous phase ratio were studied to determine the optimum conditions for extraction, scrubbing and stripping of cadmium, cobalt and nickel. Requirement of number of stages were determined from Mc-Cabe-Thiele plot for complete extraction and stripping of specific metal and subsequently validated by counter current simulation study

Development, standardization of polyherbal formulation of analgesic ointment of plant Carum copticum, Mentha piperita, Cedrus deodara

Ayurveda is one of the world’s oldest systems of medicine. It originated in India and has evolved there over thousands of years. The term “Ayurveda” combines then Sanskrit words ayur (life) andVeda (science or knowledge). Ayurveda means “the science of life. Medicinal plants and herbal drugs have played a key role in world health. According to world health organization (WHO), about 80% of the world population currently utilizes the herbal drugs. People are using herbal medicines from centuries for safety, efficacy, cultural acceptability, non-toxic, lesser side effects and easily available at affordable prices. In recent times, there has been a move in universal trend from synthetic to herbal medicine due to side effects of synthetic products. Herbal products may contain a single herb or combinations of several different herbs believed to have complementary and /synergistic effects. Some herbal products, including many traditional medicine formulations, also include animal products and minerals. Herbal products are sold as either raw plants or extracts of portions of the plant or in the form formulation i.e. tablet, capsule, syrup, cream and ointment etc. The different parts of plants with analgesic were taken up for the present study and investigated for the phytochemical screening and used for the formulation of analgesic ointment. Present study deals with formulation, Standardization, evaluation of ointment made from alcoholic extract and essential oil of different plants