17 research outputs found
Book Reviews
No full textBOOK REVIEWS Letter From An Author - ASOKE BASU The Limits of Reform: Women, Capital and Welfare by Jennifer G. Schirmer - Reviewed by KRISTINE NELSON 542 Marxism and Domination: A Neo-Hegelian. Feminist, Psychoanalytic Theory of Sexual, Political and Technological Liberation, by Isaac D, Balbus - Reviewed by DAN LA BOTZ 53
Heikkilä-Horn, Marja-Leena: Santi Asoke Buddhism and Thai State Response
No full textThis book is a largely empirical study based on fieldwork carried out by its author in Thailand. It deals with a new movement in Thai Buddhism which has come into conflict with the state and with established forms of Buddhism. At the very least the work is an important contribution simply in being the first full-scale characterisation of the Asoke Buddhist movement. It gives a very plastic picture of the lives of its members, of their conceptual orientations and their ritual and economic behaviour. In this regard, there will be great satisfaction on the part of others working on Buddhism and other forms of religion in South-East Asia
Capacity Building for Military Diplomacy
No full textIndia’s military diplomacy objectives of capacity building are geared toward enhancing capacities in military inventories as well as honing capacities in the training and deployment of India’s armed forces. In the pursuit of its military diplomacy, India has responded to the challenges posed by its two avowed adversaries (Pakistan and China) through interactive partnerships with its preferred strategic partners. The character of India’s military diplomacy is “human-centric”. It looks at the capacity of India’s armed forces for achieving the tasks set for them, particularly when deployed to maintain international peace and security under the United Nations. This article carries out an assessment of the current status in this sphere to ascertain the extent to which India’s core national interests are being assisted by military diplomacy
Capacity Building for Military Diplomacy
No full textIndia’s military diplomacy objectives of capacity building are geared toward enhancing capacities in military inventories as well as honing capacities in the training and deployment of India’s armed forces. In the pursuit of its military diplomacy, India has responded to the challenges posed by its two avowed adversaries (Pakistan and China) through interactive partnerships with its preferred strategic partners. The character of India’s military diplomacy is “human-centric”. It looks at the capacity of India’s armed forces for achieving the tasks set for them, particularly when deployed to maintain international peace and security under the United Nations. This article carries out an assessment of the current status in this sphere to ascertain the extent to which India’s core national interests are being assisted by military diplomacy
Des types d’intellectuels et de leurs rôles politiques
No full textAprès avoir fait état de la vaste littérature, comparative et historique, qui traite du rôle de l'intellectuel et dont un des appotrs est d'avoir souligné le caractère général de l'antipathie entre les intellectuels et le pouvoir, l'auteur construit, sur la base de deux dichotomies indépendantes mais croisées (intellect/intelligence ; innovateur/intégrateur), un modèle heuristique qui puisse rendre compte de la complexité des rôles politiques que jouent les intellectuels. Il dégage ainsi quatre rôles prototypes entre lesquels les intellectuels se répartissent : a) le Gardien du Seuil (Gatekeeper), b) le Moraliste, c) le Protecteur et d) le Conservateur. La description de chacun de ces rôles politiques, qui s'appuie principalement sur des exemples d'intellectuels américains, permet à la fois une discussion des divers comportements politiques de ";ux-là mêmes qui assurent les rôles du " savoir et de la culture " et une analyse des conditions sociales qui contribuent au développement de tels comportements.After summarizing the vast historical and comparative literature on the role of the intellectual which points out among other things that there is a general antipathy between intellectuals and persons in power, the author constructs a heuristic model which can highlight the complexity of political roles played by intellectuals on the basis of two distinct but related dichotomies (intellect/intelligence ; innovator/integrator). By cross-tabulating these dicotho-mies, he discovers four prototypical roles among which intellectuals are distributed : a) gate keeper, b) moralist, c) protector and d) conservative. In his description of each of these roles, which is based largely upon examples of american intellectuals, the author discusses both the different political behaviorsthat assure a role for "knowledge and culture" and the social conditions which contribute to the development of such behaviors.Después de haber mencionado la vasta literatura, comparativa e histórica que trata del rol del intelectual, uno de sus aportes es el de haber subrayado el carácter general de la antipatía entre los intelectuales y el poder. El autor construye, sobre la base de dos dicotomías independientes, pero cruzadas (intelecto/inteligencia; innovador/integrante), un modelo heurístico que pueda dar cuenta de la complexidad de los roles políticos que desempeñan los intelectuales. Encuentra así cuatro roles prototipos entre los cuales los intelectuales se sitúan : a) el Guardian (Gatekeeper), b) el moralista c) el Protectory d) los conservadores. La descripción de cada uno de esos roles políticos, que se apoya principalmente sobre los ejemplos de los intelectuales americanos, permite a la vez una discución de diversos comportamientos políticos de aquellos mismos que aseguran los roles del "saber y de la cultura" y un análisis de las condiciones sociales que contribuyen al desarollo de tales comportamientos
Tracking Cancer Genetic Evolution using OncoTrack
No full textabstract: It is difficult for existing methods to quantify, and track the constant evolution of cancers due to high heterogeneity of mutations. However, structural variations associated with nucleotide number changes show repeatable patterns in localized regions of the genome. Here we introduce SPKMG, which generalizes nucleotide number based properties of genes, in statistical terms, at the genome-wide scale. It is measured from the normalized amount of aligned NGS reads in exonic regions of a gene. SPKMG values are calculated within OncoTrack. SPKMG values being continuous numeric variables provide a statistical metric to track DNA level changes. We show that SPKMG measures of cancer DNA show a normative pattern at the genome-wide scale. The analysis leads to the discovery of core cancer genes and also provides novel dynamic insights into the stage of cancer, including cancer development, progression, and metastasis. This technique will allow exome data to also be used for quantitative LOH/CNV analysis for tracking tumour progression and evolution with a higher efficiency.The final version of this article, as published in Scientific Reports, can be viewed online at: https://www.nature.com/articles/srep2964
Artificial neural networks fighting real neural decline: a systematic review of AI in Alzheimer’s research
No full textData availability:
All data used in this systematic review were obtained from publicly available sources and peer-reviewed journal articles. The selection process is outlined in the PRISMA flow diagram included in the manuscript. A complete list of included studies is available in the Zotero library used for this review. This library can be shared upon reasonable request to the corresponding author. Any new data generated during this study can be obtained upon request.Alzheimer’s disease (AD) is a major global health challenge, with Artificial Intelligence (AI) increasingly recognized as a transformative tool for early detection, disease progression modeling, and therapeutic discovery. This systematic review, conducted in accordance with PRISMA guidelines, analyzed 156 peer-reviewed studies published between 2010 and 2024, identified from four major databases (Scopus, PubMed, Web of Science, IEEE Xplore). A particular emphasis was placed on multimodal approaches that integrate neuroimaging, genetics, biomarkers, and clinical data to improve accuracy and translational value. To organize this fragmented field, we introduce a novel Layered Framework that categorizes AI applications into four domains: Early Detection, Disease Progression Modeling, Therapeutic Discovery, and Real-World Integration. In addition, we applied ARIMA-based forecasting to project research trajectories through 2030, which revealed generative models and transformer architectures as the fastest-growing and most promising methodologies. The review highlights substantial advances in early detection and multimodal fusion, particularly through deep learning, while also identifying persistent challenges such as limited model generalizability, ethical concerns, and underexplored clinical implementation. Addressing these barriers will require multi-cohort validation, interpretable AI, and equity-driven model development. By consolidating evidence and forecasting future directions, this review provides a roadmap for accelerating precision-driven innovations in Alzheimer’s care.This work was supported by the Engineering and Physical Sciences Research Council
Real-Time Monitoring of Wind Turbine Bearing Using Simple Neural Network on Raspberry Pi
No full textData Availability Statement:
The data presented in this study are available on request from the corresponding author. The data are not publicly available due to commercial privacy.Wind turbines are a crucial part of renewable energy generation, and their reliable and efficient operation is paramount in ensuring clean energy availability. However, the bearings in wind turbines are subjected to high stress and loads, resulting in faults that can lead to costly downtime and repairs. Fault detection in real time is critical to minimize downtime and reduce maintenance costs. In this work, a simple neural network model was designed and implemented on a Raspberry Pi for the real-time detection of wind turbine bearing faults. The model was trained to accurately identify complex patterns in raw sensor data of healthy and faulty bearings. By splitting the data into smaller segments, the model can quickly analyze each segment and generate predictions at high speed. Additionally, simplified algorithms were developed to analyze the segments with minimum latency. The proposed system can efficiently process the sensor data and performs rapid analysis and prediction within 0.06 milliseconds per data segment. The experimental results demonstrate that the model achieves a 99.8% accuracy in detecting wind turbine bearing faults within milliseconds of their occurrence. The model’s ability to generate real-time predictions and to provide an overall assessment of the bearing’s health can significantly reduce maintenance costs and increase the availability and efficiency of wind turbines.This work was supported in part by the Royal Society award (number IEC\NSFC\223294) to Professor Asoke K. Nandi
