Culture, Data and Algorithmic Organization

Leonardo ◽  
2012 ◽  
Vol 45 (3) ◽  
pp. 286-286 ◽  
Author(s):  
George Legrady

The author presents his interactive digital installations of the past decade, featured in museums, media arts festivals and galleries, that engage the audience to contribute data that is then transformed into content and visually projected large scale in the exhibition space. Collected over time, the data occasions further data-mining, algorithmic processing, with visualization of the results.

2022 ◽  
Vol 9 ◽  
Author(s):  
Yan Guo ◽  
Tengjiao Wang ◽  
Wei Chen ◽  
Ted J. Kaptchuk ◽  
Xilian Li ◽  
...  

In the past decades, numerous clinical researches have been conducted to illuminate the effects of traditional Chinese medicine for better inheritance and promotion of it, which are mostly clinical trials designed from the doctor's point of view. This large-scale data mining study was conducted from real-world point of view in up to 10 years' big data sets of Traditional Chinese Medicine (TCM) in China, including both medical visits to hospital and cyberspace and contemporaneous social survey data. Finally, some important and interesting findings appear: (1) More Criticisms vs. More Visits. The intensity of criticism increased by 2.33 times over the past 10 years, while the actual number of visits increased by 2.41 times. (2) The people of younger age, highly educated and from economically developed areas have become the primary population for utilizing TCM, which is contrary to common opinions on the characteristics of TCM users. The discovery of this phenomenon indicates that TCM deserves further study on how it treats illness and maintains health.


Prospects ◽  
1980 ◽  
Vol 5 ◽  
pp. 423-437
Author(s):  
Cushing Strout

Histories and novels are old allies, but the alliance is now troubled. The historian C. Vann Woodward told a convention of historians a decade ago that “our kindship is actually much closer to novelists” than to social scientists. Both the novel and history, he pointed out, “sprang from a common parentage of story-telling” and “competed with each other to satisfy the demand for historical understanding.” Over the last two centuries, he maintained, “novelists have been becoming ever more deeply historically conscious.” In the same year in which Woodward's remarks were published another historian, Sigfried Kracauer, struck a different note. The pioneers of the modern novel, Joyce, Proust, and Woolf, he observed, “no longer care to render biographical developments and chronological sequences after the manner of the older novel; on the contrary, they resolutely decompose (fictitious) continuity over time.” Thus modern art has “radically challenged the artistic ideals from which the general historian draws his inspiration—from which he must draw it to establish his genre.” But Kracauer explicitly cautioned against confusing his observations with attempts to “question the faithfulness to reality of the general historian's accounts.” He only drew the conclusion that general, large-scale narrative history as a genre survives only because metaphysical and political interests invite the historian to look at the past “from above” as a whole, instead of looking at it “from below” in the form of analytical specialized histories.


The objective of the study is to help the parents to track their child daily activities on computer, for which, there is a need to develop a Monitoring and Tracking System for computer and internet usage. To achieve the stated goals a framework was established and implemented. The interface was designed in such a way so as user will not get a sense that his or her activities are being traced. The database contain all the recorded logs to check over-all usage pattern over time, thus enabling parents to recall the past events and subsequently behavioral aspects of their child. In this study, Web usage mining for monitoring activity of kids has been addressed. The experiment was conducted on the dataset collected by using the developed software. The monitoring system (Systrack)has been compared with other available software’s and it was found that Systrack was able to perform all the functions which other software’s are capable of, in addition Systrack used data mining techniques to find the behavioural pattern of kids in different situation.


MAUSAM ◽  
2022 ◽  
Vol 45 (1) ◽  
pp. 79-86
Author(s):  
V. DESIKAN ◽  
V. R. CHIVATE ◽  
V. V. ABIHYANKAR

The drive for indust rial development h... ... 100 to large scale urbanisation and result,.-. d in theinjec tion of good amount of suspended particle.. and gaseous substances into the atmosphere. The m..er-abuscof the capac ity .of the atmosphere to sustain the equilibrium is bound to disturb the heal budget of the earthatmospheresystem. Radiometric parameters of the atmosphere give an early indication of the trends in the longtermclimatic changes. Whi le the global rad iant exposure is no t likely to show perceptible changes due to theincreased scauering by the pollutants, I ~ ~ diffuse radiant el(p(ls~re and the direct so.l3! irradianc~ respond qu icklyto the changes In the atmospheric conditions. Various controlling factors like humidity. soi l moist ure and cloud"have d ifferent effects on the terres trial radiant energy and the changes in thi s energy OI..'Cur slowly and ta ke longtime to affect the climate at a place. But the general trend is indicated by the increased diffuse component in thedi rect sola r rrmdiances and in the net outgoing terrestrial radia nt energy. The responses arc clearly indicative.part icularly ,II Punc......here the industrial activiti es grew at a phenomenal rate during the past fifteen years.


2019 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Mojtaba Haghighatlari ◽  
Sai Prasad Ganesh ◽  
Chong Cheng ◽  
Johannes Hachmann

<div>We present a high-throughput computational study to identify novel polyimides (PIs) with exceptional refractive index (RI) values for use as optic or optoelectronic materials. Our study utilizes an RI prediction protocol based on a combination of first-principles and data modeling developed in previous work, which we employ on a large-scale PI candidate library generated with the ChemLG code. We deploy the virtual screening software ChemHTPS to automate the assessment of this extensive pool of PI structures in order to determine the performance potential of each candidate. This rapid and efficient approach yields a number of highly promising leads compounds. Using the data mining and machine learning program package ChemML, we analyze the top candidates with respect to prevalent structural features and feature combinations that distinguish them from less promising ones. In particular, we explore the utility of various strategies that introduce highly polarizable moieties into the PI backbone to increase its RI yield. The derived insights provide a foundation for rational and targeted design that goes beyond traditional trial-and-error searches.</div>


2020 ◽  
Author(s):  
Lungwani Muungo

The purpose of this review is to evaluate progress inmolecular epidemiology over the past 24 years in canceretiology and prevention to draw lessons for futureresearch incorporating the new generation of biomarkers.Molecular epidemiology was introduced inthe study of cancer in the early 1980s, with theexpectation that it would help overcome some majorlimitations of epidemiology and facilitate cancerprevention. The expectation was that biomarkerswould improve exposure assessment, document earlychanges preceding disease, and identify subgroupsin the population with greater susceptibility to cancer,thereby increasing the ability of epidemiologic studiesto identify causes and elucidate mechanisms incarcinogenesis. The first generation of biomarkers hasindeed contributed to our understanding of riskandsusceptibility related largely to genotoxic carcinogens.Consequently, interventions and policy changes havebeen mounted to reduce riskfrom several importantenvironmental carcinogens. Several new and promisingbiomarkers are now becoming available for epidemiologicstudies, thanks to the development of highthroughputtechnologies and theoretical advances inbiology. These include toxicogenomics, alterations ingene methylation and gene expression, proteomics, andmetabonomics, which allow large-scale studies, includingdiscovery-oriented as well as hypothesis-testinginvestigations. However, most of these newer biomarkershave not been adequately validated, and theirrole in the causal paradigm is not clear. There is a needfor their systematic validation using principles andcriteria established over the past several decades inmolecular cancer epidemiology.


1987 ◽  
Vol 19 (5-6) ◽  
pp. 701-710 ◽  
Author(s):  
B. L. Reidy ◽  
G. W. Samson

A low-cost wastewater disposal system was commissioned in 1959 to treat domestic and industrial wastewaters generated in the Latrobe River valley in the province of Gippsland, within the State of Victoria, Australia (Figure 1). The Latrobe Valley is the centre for large-scale generation of electricity and for the production of pulp and paper. In addition other industries have utilized the brown coal resource of the region e.g. gasification process and char production. Consequently, industrial wastewaters have been dominant in the disposal system for the past twenty-five years. The mixed industrial-domestic wastewaters were to be transported some eighty kilometres to be treated and disposed of by irrigation to land. Several important lessons have been learnt during twenty-five years of operating this system. Firstly the composition of the mixed waste stream has varied significantly with the passage of time and the development of the industrial base in the Valley, so that what was appropriate treatment in 1959 is not necessarily acceptable in 1985. Secondly the magnitude of adverse environmental impacts engendered by this low-cost disposal procedure was not imagined when the proposal was implemented. As a consequence, clean-up procedures which could remedy the adverse effects of twenty-five years of impact are likely to be costly. The question then may be asked - when the total costs including rehabilitation are considered, is there really a low-cost solution for environmentally safe disposal of complex wastewater streams?


2019 ◽  
Vol 19 (1) ◽  
pp. 4-16 ◽  
Author(s):  
Qihui Wu ◽  
Hanzhong Ke ◽  
Dongli Li ◽  
Qi Wang ◽  
Jiansong Fang ◽  
...  

Over the past decades, peptide as a therapeutic candidate has received increasing attention in drug discovery, especially for antimicrobial peptides (AMPs), anticancer peptides (ACPs) and antiinflammatory peptides (AIPs). It is considered that the peptides can regulate various complex diseases which are previously untouchable. In recent years, the critical problem of antimicrobial resistance drives the pharmaceutical industry to look for new therapeutic agents. Compared to organic small drugs, peptide- based therapy exhibits high specificity and minimal toxicity. Thus, peptides are widely recruited in the design and discovery of new potent drugs. Currently, large-scale screening of peptide activity with traditional approaches is costly, time-consuming and labor-intensive. Hence, in silico methods, mainly machine learning approaches, for their accuracy and effectiveness, have been introduced to predict the peptide activity. In this review, we document the recent progress in machine learning-based prediction of peptides which will be of great benefit to the discovery of potential active AMPs, ACPs and AIPs.


Author(s):  
Telesca Giuseppe

The ambition of this book is to combine different bodies of scholarship that in the past have been interested in (1) providing social/structural analysis of financial elites, (2) measuring their influence, or (3) exploring their degree of persistence/circulation. The final goal of the volume is to investigate the adjustment of financial elites to institutional change, and to assess financial elites’ contribution to institutional change. To reach this goal, the nine chapters of the book introduced here look at financial elites’ role in different European societies and markets over time, and provide historical comparisons and country and cross-country analysis of their adaptation and contribution to the transformation of the national and international regulatory/cultural context in the wake of a crisis or in a longer term perspective.


Author(s):  
C. Michael Shea

For the past several decades, scholars have stressed that the genius of John Henry Newman remained underappreciated among his Roman Catholic contemporaries, and in order to find the true impact of his work, one must look to the century after his death. This book takes direct aim at that assumption. Examining a host of overlooked evidence from England and the European continent, Newman’s Early Legacy tracks letters, recorded conversations, and obscure and unpublished theological exchanges to show how Newman’s 1845 Essay on the Development of Christian Doctrine influenced a cadre of Catholic teachers, writers, and Church authorities in nineteenth-century Rome. The book explores how these individuals then employed Newman’s theory of development to argue for the definability of the new dogma of the Immaculate Conception of Mary during the years preceding the doctrine’s promulgation in 1854. Through numerous twists and turns, the narrative traces how the theory of development became a factor in determining the very language that the Roman Catholic Church would use in referring to doctrinal change over time. In this way, Newman’s Early Legacy uncovers a key dimension of Newman’s significance in modern religious history.


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