Journal articles: 'Predictive Prophecy'

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Thube, Komal Bhaskar. "Prophecy on Programming Language using Machine Learning Algorithms." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3699–706. http://dx.doi.org/10.22214/ijraset.2021.35746.

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A programming language is a computer language developers use to develop software programs, scripts, or other sets of instruction for computers to execute. It is difficult to determine which programming language is widely used. In our work, I have analyzed and compared the classification results of various machine learning models and find out which programming language is widely used by developers. I have used Support Vector Machine (SVM), K neighbor classifier (KNN),Decision Tree Classifier(CART) for our comparative study. My task is to analyze different data and to classify them for the efficiency of each algorithm in terms of accuracy, precision, recall, and F1 Score. My best accuracy was 94.29% percent which was found using SVM. These techniques are coded in python and executed in Jupyter NoteBook, the Scientific Python Development Environment. Our experiments have shown that SVM is the best for predictive analysis and from our study that SVM is the well-suited algorithm for the prediction of the most widely used programming language.

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Vijaya Rama Raju, V., N. V. Ganapathi Raju, V. Shailaja, and Sugandha Padullaparti. "IOT based solar energy prophecy using RNN architecture." E3S Web of Conferences 184 (2020): 01007. http://dx.doi.org/10.1051/e3sconf/202018401007.

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It is the 21st century and scientists say that by the end of this century, resources will be replenished and the only way the future generations can access energy is through renewable resources— those which are inexhaustible. One such source is sunlight, which has a guaranteed stay in the long run. The energy thus given is termed as solar energy. In the present paper it is tried to solve the issue of limited resources and their adverse effects. Since the power generated from solar energy systems is highly variable, due to its dependence on meteorological conditions, an efficient method of usage of this fluctuating but precious energy source has to come in picture. This requires the scope of reliable forecast information as the development of predictive control algorithms for efficient energy management and monitoring for residential grid connected photovoltaic systems. The paper has given an overview of different applications and models for solar irradiance and photovoltaic power prediction, including time series models based on live measured data from rooftop solar power plant located at 17.5203° N, 78.3674° E. For experimentation, data collected over four years from the solar power plant was used in order to the train machine and understand the characteristics of the solar power plant and gives the predicted energy as the result. The use of Deep Learning is done where LSTM is used for the training and keras and tensorflow are used for obtaining the result. The mean square error thus obtained is 0.015.

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Johanson, John C. "Effect of Target's Sex on Manipulations of Self-Fulfilling Prophecy." Psychological Reports 84, no. 2 (April 1999): 413–23. http://dx.doi.org/10.2466/pr0.1999.84.2.413.

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Rosenthal and Jacobson outlined the results of their research concerning the Pygmalion phenomenon in 1968. Since that time, research in the field of the Pygmalion effect and, more generally, self-fulfilling prophecy has flourished. The process of self-fulfilling prophecy involves a target individual interpreting a source individual's often nonverbal expectations, internalizing those expectations, and then behaving in accordance with those expectations. Some have suggested that female targets are less likely than male targets to be influenced by such treatments despite the fact that females are generally superior at nonverbal decoding of other's expectations. Other research has shown, however, that female targets are less confident of their interpretation of nonverbal cues and are less likely to conform blindly to other's expectations than are male targets This paper reports a test of the hypothesis that female targets require a source of greater credibility than males to elicit a self-fulfilling prophecy effect. 100 undergraduate volunteers completed a mock predictive test of analytic abilities, and each received uniformly positive feedback concerning his performance. Each then competed against a computer at a simulated card game to provide another measure of analytic abilities. The game score and time on task indicated that female targets, unlike males, performed better at the card game when they were led to believe that the predictive test was constructed by a highly credible individual than by a less credible one.

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J. Pech, Richard. "Prophets and losses: the predictive impulse." Journal of Business Strategy 35, no. 1 (January 14, 2014): 43–51. http://dx.doi.org/10.1108/jbs-06-2013-0042.

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Purpose – The topic of forecasting and our (in)ability to predict the future should be regularly revisited as our memories seem incredibly short and forgiving of inaccurate and false predictions, as well as our failure to predict what should have been obvious. Forecasting is a critical stage of the strategizing process. Why are we still getting it wrong? Design/methodology/approach – Using a conceptual approach, this paper warns against placing too much faith in our predictive (in)abilities and attempts to address the question of why we continue to seek out and trust a flawed industry that profits from false prophecy. Findings – Humans have always found comfort in soothsayers and mystics. Where once they came in the guise of tribal witch doctors, today many appear as economists, strategists, and consultants. Our need for security is readily exploited by people claiming to know the future. We receive pleasure from the act of cooperation and therefore prefer to believe rather than disbelieve. We place faith in myths rather than facts, and we fail to see what in hindsight should have been obvious. Originality/value – This paper acts as a warning. Forecasting is about identifying patterns and themes and designing multiple response scenarios. Myths and magic have no place in the modern business world, and those who claim to “know” the future are really only speculating or lying – no one can “see” the future. Strategists can only reflect on the past, speculate in an informed manner, and design multiple alternative responses. The anomalous event, the pattern breaker, the surprise, will always be with us. The best we can do is to prepare for what might occur, and operate on the basis that just because something has been with us for a long time, it may not be with us forever.

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Grund-Wittenberg, Alexandra. "The Future of the Past: Literarische Prophetien, Prophetenspruchsammlungen und die Anfänge der Schriftprophetie." Vetus Testamentum 71, no. 3 (February 18, 2021): 365–96. http://dx.doi.org/10.1163/15685330-12341069.

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Abstract The article is a contribution to the current discussion about the beginnings of prophetic books in ancient Israel. It investigates the significance of the so-called „Literary Predictive Texts“ (LPT) and the Neo-Assyrian prophecies for our understanding of the emergence of prophetic writings in Israel. TheLPTin particular had received only little attention so far. Tying in critically with some recent studies, this article compares the Marduk prophecy and the Neo-Assyrian tablet SAA9 3 with selected passages from the book of Amos (Amos 3–6* and Amos 6*). It concludes that in contrast to the Neo-Assyrian collective tablets the LPTcannot serve as appropriate analogies to early prophetic scrolls, but that they are helpful to understand the phenomenon of tradent prophecy.

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Atkins, Gareth. "‘Isaiah's Call to England': Doubts about Prophecy in Nineteenth-Century Britain." Studies in Church History 52 (June 2016): 381–97. http://dx.doi.org/10.1017/stc.2015.22.

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Prophetic thought in nineteenth-century Britain has often been presented as divided between those mostly evangelical constituencies who ‘believed' in its literal fulfilment in the past, present or future and those who ‘doubted' such interpretations. This essay seeks to question that division by tracking the uses of one set of prophetic passages, those concerning the ‘Ships of Tarshish’ mentioned in Isaiah 60: 9 and elsewhere. It examines their appropriation from the late eighteenth century onwards by those seeking prophetic-providential justification for the British maritime empire. Next it shows how such such ideas fuelled missionary expansion in the years after 1815, suggesting that by mid-century that there was a growing spectrum of ways in which such passages were used by religious commentators. The final section shows how biblical critics seeking to bolster the integrity of the Bible as a text reconstructed the geographical and economic settings for these passages, establishing their historical veracity as they did so but in the process undermining their supernaturally predictive status. Thus one way of bolstering ‘faith’ – the study of prophetic fulfilments – was rendered doubtful by another. By the end of our period Tyre and Tarshish retained much of their homiletic punch as metaphors for the sin brought by trade and luxury, but those who saw them as literal proxies for Britain were in the minority.

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Armstrong, Andrew J., Jun Luo, Monika Anand, Emmanuel S. Antonarakis, David M. Nanus, Paraskevi Giannakakou, Russell Zelig Szmulewitz, et al. "AR-V7 and prediction of benefit with taxane therapy: Final analysis of PROPHECY." Journal of Clinical Oncology 38, no. 6_suppl (February 20, 2020): 184. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.184.

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184 Background: We previously found that men with AR-V7 (+) poor risk mCRPC have a low chance of benefit with abiraterone or enzalutamide. The benefits of subsequent taxane chemotherapy based on AR-V7 status may help inform treatment decisions. Methods: We conducted a multicenter prospective study of men with poor risk mCRPC (PROPHECY, NCT02269982) starting Abi or Enza and subsequent taxane chemotherapy. AR-V7 status from CTCs was assessed before abi/enza and again before taxane chemotherapy using the Epic nuclear protein assay or the Johns Hopkins Adnatest assay. The primary endpoint was to test the association of AR-V7 with radiographic/ clinical progression free survival (PFS) and OS with taxane chemotherapy, using the proportional hazards model, adjusting for Cell Search enumeration and clinical risk score. Results: We enrolled 118 men with mCRPC starting Abi/Enza; of these, 51 were evaluable with CTC AR-V7 testing and received subsequent taxane chemotherapy. With 50 PFS events, see table for final results. While AR-V7 positivity was associated with worse outcomes overall, AR-V7 (+) patients had similar PFS, OS, and confirmed >50% PSA declines adjusting for CTC enumeration and clinical prognostic factors. Concordance between the two AR-V7 assays pre-taxane was 0.78 (kappa 0.46). AR-V7 positivity increased at progression on abi/enza, but not following taxane chemotherapy. Conclusions: Men with AR-V7 positive mCRPC have poor outcomes, but may benefit from taxane chemotherapy after progression on abi/enza. AR-V7 may provide a helpful predictive biomarker to guide treatment with a second AR inhibitor or a taxane. Clinical trial information: NCT02269982. [Table: see text]

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Dirix, Luc. "Predictive Significance of Androgen Receptor Splice Variant 7 in Patients With Metastatic Castration-Resistant Prostate Cancer: The PROPHECY Study." Journal of Clinical Oncology 37, no. 24 (August 20, 2019): 2180–81. http://dx.doi.org/10.1200/jco.19.00811.

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Petropoulos Petalas, Diamantis, Stefan Bos, Paul Hendriks Vettehen, and Hein T. van Schie. "Event-related brain potentials reflect predictive coding of anticipated economic change." Cognitive, Affective, & Behavioral Neuroscience 20, no. 5 (August 18, 2020): 961–82. http://dx.doi.org/10.3758/s13415-020-00813-5.

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Abstract Research has demonstrated the importance of economic forecasts for financial decisions at the aggregate economic level. However, little is known about the psychological and neurophysiological mechanisms that economic forecasts activate at the level of individual decision-making. In the present study, we used event-related brain potentials (ERPs) to test the hypothesis that economic forecasts influence individuals’ internal model of the economy and their subsequent decision behavior. Using a simple economic decision-making game, the Balloon Analogue of Risk Task (BART) and predictive messages about possible economic changes in the game before each block, we test the idea that brain potentials time-locked to decision outcomes can vary as a function of exposure to economic forecasts. Behavioural results indicate that economic forecasts influenced the amount of risk that participants were willing to take. Analyses of brain potentials indicated parametric increases of the N1, P2, P3a, and P3b amplitudes as a function of the level of risk in subsequent inflation steps in the BART. Mismatches between economic forecasts and decision outcomes in the BART (i.e., reward prediction errors) were reflected in the amplitude of the P2, P3a, and P3b, suggesting increased attentional processing of unexpected outcomes. These electrophysiological results corroborate the idea that economic messages may indeed influence people’s beliefs about the economy and bias their subsequent financial decision-making. Our findings present a first important step in the development of a low-level neurophysiological model that may help to explain the self-fulfilling prophecy effect of economic news in the larger economy.

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Pretorius, S. P. "Word volgelinge van sommige hedendaagse “profete” mislei en van hulle regte ontneem onder die dekmantel van profesie?" Verbum et Ecclesia 26, no. 2 (October 3, 2005): 507–26. http://dx.doi.org/10.4102/ve.v26i2.237.

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Prophets and their prophecies seem to form an integral part of the spirituality of some believers. A small group of believers in Hertzogville are clinging wholeheartedly to the prediction uttered by their ‘prophet’, a certain David Francis. According to Francis, God gave him a message on 1 July 2004 that the deceased, Paul Meintjies, should not be buried because he would rise from the dead. Francis gave no specific date for the resurrection — God will speak to him when the time is right. Although Francis could give no specific date, rumours amongst the people in Hertzogville had it that the resurrection would take place on 29 July 2004. This date was later changed to 5 and then to 8 August 2004. Nothing happened on any of these dates. In spite of everything, the followers of Francis still believe that Meintjies will rise from the dead. In this article the claim of modern day ‘prophet’ and their so-called godly messages are evaluated. This is done in light of the Biblical prophets. Judging by the actions of his followers, it seems that Francis has gained some sort of control over them, affecting their whole lives. The prophecy appears to be instrumental in the control he has over his followers. How this ‘control’ over his followers affect their whole lives and in particular their rights is also investigated The conclusion is that modern ‘prophets’ of the like of Francis gain an unethical control over their followers’ lives through so-called ‘prophecy’. Prophecy interpreted by his followers as ‘God’ s Word’ acts as a powerful instrument in achieving this control. In the process the followers are also denied certain rights according to the country’ s Constitution under the banner of freedom of religion.

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Gladstone, Gemma, and Gordon Parker. "When You're Smiling does the Whole World Smile for You?" Australasian Psychiatry 10, no. 2 (June 2002): 144–46. http://dx.doi.org/10.1046/j.1440-1665.2002.00423.x.

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Objective: To summarise and review findings from a longitudinal study examining the predictive significance of authentic smiling. Conclusions: A smile captured at one point in time (i.e. in a college photograph) was modestly but significantly associated with less self-reported negative emotionality and more perceived self-competence in a sample of women followed up over several years. Smiling also had a favourable influence upon observer judgements, with subjects who smiled being judged as more likeable and approachable than non-smilers and non-authentic smilers. Authentic smiling in adults is probably a behavioural marker of various helpful or protective psychological qualities fuelled at least moderately by temperament. Variation exists in smiling behaviour like it does in any other individual difference, but the very act of smiling might even serve as a kind of self-fulfilling prophecy - so smile more, but don't fake it!

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Gunda, Masiiwa Ragies. "Prediction and Power: Prophets and Prophecy in the Old Testament and Zimbabwean Christianity." Exchange 41, no. 4 (2012): 335–51. http://dx.doi.org/10.1163/1572543x-12341237.

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Abstract The prominence of prophets such as TB Joshua of Nigeria and Immanuel Makandiwa of Zimbabwe has triggered debates on the nature of prophets and prophecy. Through a socio-historical and reception historical analysis, this article contends that there are two major characteristics of prophets, that is, the ability to make accurate predictions and the ability to confound nature and normalcy by manifesting unrivalled power through healing and other activities. These characteristics are observable in the activities of Zimbabwean prophets both pioneers such as Masowe, Marange, Mutendi and contemporary ones like Makandiwa. It is also noted that the narratives of Old Testament prophets, especially Elijah and Elisha, are used by contemporary prophets to confirm that their own ‘signs and deeds’ are in line with those of the great prophets of God. The extraordinary abilities of these prophets are seen as proof of their being divinely chosen, hence the multitude of followers who are in need of their ‘signs and wonders’.

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Chryssides, George. "How Prophecy Succeeds." International Journal for the Study of New Religions 1, no. 1 (July 29, 2010): 27–48. http://dx.doi.org/10.1558/ijsnr.v1i1.27.

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Leon Festinger’s notion of prophecy as prediction that is liable to failure has been widely accepted in religious studies. The author argues that this understanding of prophecy is not shared by biblical scholars or by the Watch Tower Society. The article explores in detail the various calculations that the Society has used in devising its views on the last days, and how these have changed over time. Four periods of development are identified: (1) the era of founder-leader Charles Taze Russell; (2) the early Rutherford period; (3) a changed chronological system in 1935; and (4) the Society’s present-day understanding. Discussion is given to the key dates of 1914, 1918, 1925 and 1975, and to the Society’s changed understanding of the ‘generation that would not pass’ until the fulfilment of prophecy. It is argued that, although there have been failures in prophetic speculation, the changing views and dates of the Jehovah’s Witnesses are more largely attributable to changed understandings of biblical chronology than to failed predictions. For the Jehovah’s Witnesses prophecy serves more as a way of discerning a divine plan in human history than a means to predicting the future.

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Brown, Landon Carter, Susan Halabi, Joseph Schonhoft, Jun Luo, David M. Nanus, Paraskevi Giannakakou, Russell Zelig Szmulewitz, et al. "Association of circulating tumor cell chromosomal instability with worse outcomes in men with mCRPC treated with abiraterone or enzalutamide." Journal of Clinical Oncology 38, no. 6_suppl (February 20, 2020): 183. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.183.

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183 Background: While AR-V7 is a known driver of hormonal resistance, most men with mCRPC lack AR-V7 detection and commonly experience cross-resistance to abiraterone and enzalutamide (abi/enza). Loss of AR dependence through neuroendocrine (NE) differentiation or chromosomal instability (CIN) may explain AR therapy cross-resistance in additional men. Methods: PROPHECY was a multicenter prospective study of men with poor risk mCRPC starting abi/enza. We assessed Epic CTC AR-V7, CIN and NE phenotypes before abi/enza and at progression. Radiographic/clinical progression free survival (PFS) and overall survival (OS) were associated with CIN (>3 CTCs) and NE (>3 CTCs) CTC phenotypes using the proportional hazards model adjusting for Cellsearch CTC, AR-V7, and clinical risk score. Results: 118 men with mCRPC starting on abi/enza were enrolled; 106 had evaluable CTCs for AR-V7, CIN, and NE on the Epic platform. Of these, 22.6% and 9.4% of men exhibited high CTC CIN and NE scores, respectively. High pre-treatment CIN and NE phenotypic scores were observed in 63 and 27% of AR-V7 (+) and in 17 and 7% of AR-V7 (-) men. CTC CIN phenotype but not NE phenotype was associated with a lower confirmed PSA response rate and OS (TABLE) with abi/enza, adjusting for CTC number, AR-V7 and risk score. Conclusions: A high chromosomal instability CTC phenotype is associated with worse outcomes in men with mCRPC treated with abi/enza and warrants further study as a prognostic or predictive biomarker. Clinical trial information: NCT02269982. [Table: see text]

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Harris, L. Norman. "Prediction or prophesy?" Quality and Reliability Engineering International 3, no. 2 (April 1987): 76. http://dx.doi.org/10.1002/qre.4680030203.

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Khandelwal, Gunjan, Gaurav Rajpurohit, Gaurav Goyal, and Loveleen Kumar. "Prophecy - Google Apps Analysis and Prediction." International Journal of Civil, Mechanical and Energy Science 6, no. 2 (2020): 1–5. http://dx.doi.org/10.22161/ijcmes.621.

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Outhwaite, William, William Outhwaite, and Larry Ray. "Prediction and Prophecy in Communist Studies." Comparative Sociology 10, no. 5 (2011): 691–709. http://dx.doi.org/10.1163/156913311x599025.

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Abstract Contrary to Popper’s classic article with this title, it can be argued that the principal failure of Western analyses of communism was not the failure to predict the collapse of most of the communist regimes in and around 1989 but more a failure of prophecy, in the sense of a more speculative theory of the contradictions of those regimes and their unsustainability. The reasons can be found in the polarisation between overblown theories of totalitarianism and excessively bland comparative approaches couched in terms of the, then popular, theories of industrial society and, often, convergence. There were also methodological reasons arising from the positivist shibboleths of factual documentation, with the consequence that dubious statistics were considered better than none, and value-freedom.

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Wang, Xiaoling, Xiaofang Zhang, Ning Li, Chengfeng Han, Zhuping Yuan, and Huanyu Gao. "A Time Series Prediction Approach Based on Hybrid Tuning for Database Performance Indicator in AIOps." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, no. 5 (October 2020): 1030–37. http://dx.doi.org/10.1051/jnwpu/20203851030.

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One of the most important applications of the intelligent operation and maintenance of a cloud database is its trend prediction of key performance indicators (KPI), such as disk use, memory use, etc. We propose a method named AutoPA4DB (Auto Prophet and ARIMA for Database) to predict the trend of the KPIs of the cloud database based on the Prophet model and the ARIMA model. Our AutoPA4DB method includes data preprocessing, model building, parameter tuning and optimization. We employ the weighted MAPE coverage to measure its accuracy and use 6 industrial datasets including 10 KPIs to compare the AutoPA4DB method with other three time-series trend prediction algorithms. The experimental results show that our AutoPA4DB method performs best in predicting monotonic variation data, e.g.disk use trend prediction. But it is unstable in predicting oscillatory variation data; for example, it is acceptable in memory use trend prediction but has poor accuracy in predicting the number of database connection trends.

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Fatma, Suria Dewi, Silvia Rosa, and Zurmailis Zurmailis. "Prophecy in Literature." Journal Polingua : Scientific Journal of Linguistics, Literature and Education 9, no. 1 (March 31, 2020): 16–23. http://dx.doi.org/10.30630/polingua.v9i1.128.

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This study discusses how a phenomenon can affect civilization and the outlook on society. Prediction is so important to uncover major events that have occurred at a certain period or period. Forecast defined as attempts to acquire knowledge through occult ways or using certain rituals. Said forecaster derived from Arabic which means a science Raml for interpreting, judging, see and predict the fate of someone in the future. Activities divination fortune-telling in the novel Sabdo Palon Pudarnya Surya Majapahit by Dhamar Shashangka refers to signs/phenomena that come from nature itself, namely with the emergence of a red lunar eclipse (blood moon) lunar eclipse, Chandra Kartika, earthquake, and head of the earth at Majapahit sky. The conclusions from this study indicate that predictions are so important to answer someone's curiosity and curiosity about things that are beyond the limits of ordinary human abilities and to reveal it all also requires help from someone who has extraordinary abilities and knowledge of the prophecy itself. In this novel, the translator is focused on the figure of Sabdo Palon

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Kappetein, A. P., and S. J. Head. "Predicting prognosis in cardiac surgery: a prophecy?" European Journal of Cardio-Thoracic Surgery 41, no. 4 (February 29, 2012): 732–33. http://dx.doi.org/10.1093/ejcts/ezs061.

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Spangenberg, Eric R., David E. Sprott, Bianca Grohmann, and Ronn J. Smith. "Mass-Communicated Prediction Requests: Practical Application and a Cognitive Dissonance Explanation for Self-Prophecy." Journal of Marketing 67, no. 3 (July 2003): 47–62. http://dx.doi.org/10.1509/jmkg.67.3.47.18659.

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Marketers often promote socially beneficial actions or discourage antisocial behaviors to the benefit of their firms, target markets, and society as a whole. One means by which marketers accomplish such influence is a technique referred to as the “self-prophecy effect,” or the behavioral influence of a person making a self-prediction. Researchers have yet to establish the efficacy of self-prophecy in influencing large target markets. In addition, the theoretical mechanism underlying the effect remains in question. The authors report two field studies that demonstrate successful application of self-prophecy through mass-communicated prediction requests. Furthermore, in three laboratory experiments, the authors provide theoretical support for a dissonance-based explanation for self-prophecy, and they discuss practical implications for marketers interested in influencing socially normative behavior.

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Patra, Om, Dinesh Darshan, and Elizabeth Abba. "Forecasting COVID-19 Pandemic in India and its Impact on Planet, People and Profit." International Journal of Scientific Research and Management 8, no. 08 (August 25, 2020): 414–22. http://dx.doi.org/10.18535/ijsrm/v8i08.ec02.

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The outbreak of coronavirus disease 2019 (COVID-19) has created a global health crisis that has had a deep impact on humanity. Due to the increasing number of daily cases it is a necessity to develop a prediction method. This paper aims at predicting the number of Coronavirus cases in India ahead of a month and also predicting individually some specific states/UT of India. Gated Recurrent Unit (GRU) and Facebook Prophet are used for prediction. GRU is used to show the accuracy of the neural network model and Facebook Prophet is used to predict the cases. At last the paper will elucidate the indirect effects of lockdown in India. This section will shed light on the indirect effects of the lockdown on people, planet and profit during the lockdown period taking account of the situation in India. This detailed annotation will build a foundation for the people of India to be prepared for upcoming days.

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Ye, Ziyuan. "Air Pollutants Prediction in Shenzhen Based on ARIMA and Prophet Method." E3S Web of Conferences 136 (2019): 05001. http://dx.doi.org/10.1051/e3sconf/201913605001.

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In order to improve the accuracy of predicting the air pollutants in Shenzhen, a hybrid model based on ARIMA (Autoregressive Integrated Moving Average model) and prophet for mixing time and space relationships was proposed. First, ARIMA and Prophet method were applied to train the data from 11 air quality monitoring stations and gave them different weights. Then, finished the calculation about weight of impact in each air quality monitoring station to final results. Finally, built up the hybrid model and did the error evaluation. The result of the experiments illustrated that this hybrid method can improve the air pollutants prediction in Shenzhen.

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Coats, Karen. "Foretold: 14 Stories of Prophecy and Prediction (review)." Bulletin of the Center for Children's Books 66, no. 3 (2012): 168. http://dx.doi.org/10.1353/bcc.2012.0922.

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Falcon, Ayose, Jared Stark, Alex Ramirez, Konrad Lai, and Mateo Valero. "Prophet/Critic Hybrid Branch Prediction." ACM SIGARCH Computer Architecture News 32, no. 2 (March 2, 2004): 250. http://dx.doi.org/10.1145/1028176.1006722.

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Sagirah, Sitti. "The Study of Ma‘Ani Al-Hadis Towards Predictive Hadiths of Authoritarianism and the Moral Crisis." Borneo International Journal of Islamic Studies 1, no. 2 (May 26, 2019): 91–105. http://dx.doi.org/10.21093/bijis.v1i2.1522.

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Prophet Prediction is a tanabuāt which is related to his prophetic task for the events that have not yet occurred, but the occurrence can be sooner or later, and the event is certainly inseparable from the sociological conditions of the dinamical and developing society. To understand the hadith of the Prophet which is predictive, it needs to focus on various aspects, it starts from the semantic context and the linguistic structure of the hadith text, the appearance of the hadith, the position of the Prophet when delivering the hadith, the context of the mukhathab that followed the Prophet and how to connect the hadith text of the past to the present context. Therefore, it can capture meaning precisely, without forgetting its relevance to the contemporary dynamic context. The hadith of Sahih Muslim from Abu Hirairah which mentions two grups including the inhabitants of hell, predicts the occurrence of arbitrariness, injustice, and the moral crisis of political rulers who have impartial policies for the welfare of the people, and the existence of women who are increasingly brave to stimulate lust, and people who turn away from the big problems that are being faced.

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Rahimi, Iman, Amir H. Gandomi, Panagiotis G. Asteris, and Fang Chen. "Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases." Information 12, no. 3 (March 3, 2021): 109. http://dx.doi.org/10.3390/info12030109.

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The novel coronavirus disease, also known as COVID-19, is a disease outbreak that was first identified in Wuhan, a Central Chinese city. In this report, a short analysis focusing on Australia, Italy, and UK is conducted. The analysis includes confirmed and recovered cases and deaths, the growth rate in Australia compared with that in Italy and UK, and the trend of the disease in different Australian regions. Mathematical approaches based on susceptible, infected, and recovered (SIR) cases and susceptible, exposed, infected, quarantined, and recovered (SEIQR) cases models are proposed to predict epidemiology in the above-mentioned countries. Since the performance of the classic forms of SIR and SEIQR depends on parameter settings, some optimization algorithms, namely Broyden–Fletcher–Goldfarb–Shanno (BFGS), conjugate gradients (CG), limited memory bound constrained BFGS (L-BFGS-B), and Nelder–Mead, are proposed to optimize the parameters and the predictive capabilities of the SIR and SEIQR models. The results of the optimized SIR and SEIQR models were compared with those of two well-known machine learning algorithms, i.e., the Prophet algorithm and logistic function. The results demonstrate the different behaviors of these algorithms in different countries as well as the better performance of the improved SIR and SEIQR models. Moreover, the Prophet algorithm was found to provide better prediction performance than the logistic function, as well as better prediction performance for Italy and UK cases than for Australian cases. Therefore, it seems that the Prophet algorithm is suitable for data with an increasing trend in the context of a pandemic. Optimization of SIR and SEIQR model parameters yielded a significant improvement in the prediction accuracy of the models. Despite the availability of several algorithms for trend predictions in this pandemic, there is no single algorithm that would be optimal for all cases.

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Dr. S Gayathri and Dr. A S Saranya. "Does Pygmalion effect and Psycap Impact Academic Performance?" International Journal for Modern Trends in Science and Technology 6, no. 10 (November 24, 2020): 96–102. http://dx.doi.org/10.46501/ijmtst061017.

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Psychological capital defined as the optimistic and developmental state of an individual.(Luthans et al., 2007)predicting a wide range of work-related behavioural and attitudinal outcomes and beingpositively associated with health, performance, satisfaction etc., and negatively associated with anxiety, depression, substance use etc.“Self-Fulfilling Prophecy” or “Pygmalion effect”, is that which one person expects of another, which can come to serve as a self-fulfilling prophecy” (Rosenthal & Jacobson, 1968). In the field of educational psychologySelf-Fulfilling Prophecy or Pygmalion effect determines the impact of teacher’s behaviour on the student’s academic performance whereas Psychological capital measures an individual’s state of mind of student. The study is unique since it aims to analyse the impact of an internal factor (psycap) and an external factor (Pygmalion effect) on the student’s academic performance wherein the students are categorized into two groups namely high achievers and low achievers based on their academic results. This study aims to identify how educationists can use Neural Networking to understand the impact of the predictors’ namely internal factor (Psychological capital) and external factor (Self Fulfilling Prophecy) on students’ academic performance.The results showed that the most powerful predictor of Pygmalion effect is Teacher’s Supportive Behaviour and of Psychological Capita is resilence.

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Priest, Tyler. "Hubbert’s Peak." Historical Studies in the Natural Sciences 44, no. 1 (November 2012): 37–79. http://dx.doi.org/10.1525/hsns.2014.44.1.37.

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This paper analyzes the major debates over future petroleum supply in the United States, in particular the long-running feud between the world-famous geologist, M. King Hubbert, and the director of the U.S. Geological Survey, Vincent E. McKelvey. The intellectual history of resource evaluation reveals that, by the mid-twentieth century, economists had come to control the discourse of defining a “natural resource.” Their assurances of abundance overturned earlier conceptions of petroleum supplies as fixed and finite in favor of a more flexible understanding of resource potential in a capitalist society and acceptance of the price elasticity of natural resources. In 1956, King Hubbert questioned these assurances by predicting that U.S. domestic oil production would peak around 1970, which drew him into a long-running debate with McKelvey and the so-called “Cornucopians.” When Hubbert’s Peak was validated in the mid-1970s, he became a prophet. The acceptance of Hubbert’s theory ensured the centrality of oil in almost all discourses about the future, and it even created a cultural movement of prophecy believers fixated on preparing for the oil end times. Although notions of resource cornucopia seem to be once again in ascendance in the United States, Hubbert’s Peak still haunts any consideration of humanity’s environmental future.

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Reinhartz, Adele. "Jesus as Prophet: Predictive Prolepses in the Fourth Gospel." Journal for the Study of the New Testament 11, no. 36 (May 1989): 3–16. http://dx.doi.org/10.1177/0142064x8901103601.

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Lu, Junyi, and Sebastian Meyer. "Forecasting Flu Activity in the United States: Benchmarking an Endemic-Epidemic Beta Model." International Journal of Environmental Research and Public Health 17, no. 4 (February 21, 2020): 1381. http://dx.doi.org/10.3390/ijerph17041381.

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Accurate prediction of flu activity enables health officials to plan disease prevention and allocate treatment resources. A promising forecasting approach is to adapt the well-established endemic-epidemic modeling framework to time series of infectious disease proportions. Using U.S. influenza-like illness surveillance data over 18 seasons, we assessed probabilistic forecasts of this new beta autoregressive model with proper scoring rules. Other readily available forecasting tools were used for comparison, including Prophet, (S)ARIMA and kernel conditional density estimation (KCDE). Short-term flu activity was equally well predicted up to four weeks ahead by the beta model with four autoregressive lags and by KCDE; however, the beta model runs much faster. Non-dynamic Prophet scored worst. Relative performance differed for seasonal peak prediction. Prophet produced the best peak intensity forecasts in seasons with standard epidemic curves; otherwise, KCDE outperformed all other methods. Peak timing was best predicted by SARIMA, KCDE or the beta model, depending on the season. The best overall performance when predicting peak timing and intensity was achieved by KCDE. Only KCDE and naive historical forecasts consistently outperformed the equal-bin reference approach for all test seasons. We conclude that the endemic-epidemic beta model is a performant and easy-to-implement tool to forecast flu activity a few weeks ahead. Real-time forecasting of the seasonal peak, however, should consider outputs of multiple models simultaneously, weighing their usefulness as the season progresses.

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Falcon, A., J. Stark, A. Ramirez, Konrad Lai, and M. Valero. "Better Branch Prediction Through Prophet/Critic Hybrids." IEEE Micro 25, no. 1 (January 2005): 80–89. http://dx.doi.org/10.1109/mm.2005.5.

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Ramsey, John T. "‘Beware the Ides of March!’: an astrological prediction?" Classical Quarterly 50, no. 2 (December 2000): 440–54. http://dx.doi.org/10.1093/cq/50.2.440.

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This paper will examine the circumstances that inspired the famous utterance attributed to the haruspex Spurinna, ‘Beware the Ides of March!'1 Recently the argument has been made that this warning to Caesar was based upon an astrological calculation, rather than on the usual arts of an haruspex who read signs of the future by inspecting the entrails of sacrificial animals (exta) or by interpreting bolts of lightning (fulgura) and portents (ostenta). As intriguing as this astrological theory is, I am convinced that it is fatally flawed, and I intend to show why it must ultimately be rejected. The question is not merely an academic one, having to do with the methods employed by a particular seer on a given occasion. Rather, if it can be established as even probable that Spurinna based his prophecy upon an astrological calculation, which helped convince the conspirators that Caesar was vulnerable to attack on the Ides as being an unlucky day for him according to the stars, then we are presented with a very significant and hitherto unsuspected instance of astrology influencing the course of public affairs at Rome several decades before astrology came into its own under the early emperors. According to such a reconstruction, astrology played a key role in determining the date of one of the most fateful murders in Roman history. It is the contention of this paper, on the contrary, that there is no reason whatsoever to attribute Spurinna's prophecy to an astrological calculation.

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Andrade, J. A. A., and J. P. Gosling. "Predicting rainy seasons: quantifying the beliefs of prophets." Journal of Applied Statistics 38, no. 1 (January 2011): 183–93. http://dx.doi.org/10.1080/02664760903301168.

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Ye, Yuanyu, Aichao Yang, Yu Wu, Chen Hu, Min Li, Yan Li, and Xiaosong Deng. "Short-Term Prediction of Electronic Transformer Error Based on Intelligent Algorithms." Journal of Control Science and Engineering 2020 (August 28, 2020): 1–9. http://dx.doi.org/10.1155/2020/9867985.

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As the key metering equipment in the smart grid, the measurement accuracy and stability of electronic transformer are important for the normal operation of power system. In order to solve the problem that there is no effective way to predict the error developing trend of electronic transformer, this paper proposed two kinds of short-term prediction methods for electronic transformer error based on the backpropagation neural network and the Prophet model, respectively. First, preprocessing and visualization operation are performed on the original error data. Then, the data fitting and short-term prediction of electronic transformer error are made on the basis of the backpropagation neural network and the Prophet model, and the fitting and prediction results of the two methods are compared and analysed in combination with four evaluation indexes. Finally, the Prophet model is adopted to simulate the development trend and periodic fluctuation of error, and the reason for fluctuation is analysed. The simulation results show that the Prophet model is more suitable for the prediction of electronic transformer measurement error than the backpropagation neural network.

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Morgan, Ruth A. "Prophecy and Prediction: Forecasting Drought and Famine in British India and the Australian Colonies." Global Environment 13, no. 1 (March 1, 2020): 95–132. http://dx.doi.org/10.3197/ge.2020.130104.

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In British India and the Australian colonies, drought and famine, as well as other hazards, were challenges facing local and metropolitan meteorologists. In this article, I examine the colonial and environmental contexts that animated the studies of both Indian and Australian scientists and the meteorological futures they sought to realise. Colonial scientists in India and Australia were eager to develop means of seasonal weather prediction that could aid the advancement of Empire underway in their respective continents. As this article shows, meteorologists in both places understood that the climate knowledge emerging on each side of the east Indian Ocean could be mutually beneficial in related ways. Their vast continental scales, imperial bonds, geographic orientation and telegraphic connection made them worthy partners in colonial efforts to discern and predict weather patterns, while contributing to the wider field of meteorological science. The threat to colonial security and prosperity that drought and famine posed helped to thicken the bonds between these reaches of the empire, as their meteorologists sought to impose their territorial logic of the skies above.

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Hutton, Sarah. "Henry More and the Apocalypse." Studies in Church History. Subsidia 10 (1994): 131–40. http://dx.doi.org/10.1017/s0143045900000168.

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An interest in prophecy is a continuing theme of the writings of the Cambridge Platonist, Henry More (1614–87). In his earlier writings, the focus is on prophecy in general, particularly in relation to religious enthusiasm. He did not turn his attention to millenarianism until relatively late in his career, after he had established himself as a philosopher. From 1660 onwards, his writings are characterized by a deepening interest in biblical prophecy generally and in the Book of Revelation in particular. More first discusses biblical prophecy in print in his An Explanation of the Grand Mystery of Godliness (1660). His first systematic treatment of the topic appears in his Synopsis Propheticon which was appended to his Mystery of Iniquity (1664). Aspects of this discussion are elaborated in the fourth and fifth dialogues of his Divine Dialogues (1668), and in his An Exposition of the Seven Epistles to the Seven Churches (1669). He continued to defend his position in other works to the end of his life. As a millenarian, Henry More belongs within the general Protestant tradition which identifies Antichrist as the Pope, the Apocalypse being an ‘aenigmaticall, prefiguration and prediction of the Apostasy thereof [the church] into Antichristianism by the misguidance of the Church-men’. Furthermore, as Jan van den Berg has shown, Henry More was a disciple of the great English millenarian, Joseph Mede. He followed Mede’s synchronic reading of events described in the Apocalypse, that is he interpreted them not as one linear sequence but as a series of concurrent events. In large part More accepted Mede’s collation of the seals, trumpets, and vials with other events described. None the less, More did not agree with Mede on all points. Although the points on which he differed were small, he defended his view with tenacity, as can be seen from his discussion of prophecy with his life-long correspondent and erstwhile pupil, Lady Anne Conway (1630?–79).

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Yu, Jing, Feng Ding, Chenghao Guo, and Yabin Wang. "System load trend prediction method based on IF-EMD-LSTM." International Journal of Distributed Sensor Networks 15, no. 8 (August 2019): 155014771986765. http://dx.doi.org/10.1177/1550147719867655.

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Accurately predicting the load change of the information system during operation has important guiding significance for ensuring that the system operation is not interrupted and resource scheduling is carried out in advance. For the information system monitoring time series data, this article proposes a load trend prediction method based on isolated forests-empirical modal decomposition-long-term (IF-EMD-LSTM). First, considering the problem of noise and abnormal points in the original data, the isolated forest algorithm is used to eliminate the abnormal points in the data. Second, in order to further improve the prediction accuracy, the empirical modal decomposition algorithm is used to decompose the input data into intrinsic mode function (IMF) components of different frequencies. Each intrinsic mode function (IMF) and residual is predicted using a separate long-term and short-term memory neural network, and the predicted values are reconstructed from each long-term and short-term memory model. Finally, experimental verification was carried out on Amazon’s public data set and compared with autoregressive integrated moving average and Prophet models. The experimental results show the superior performance of the proposed IF-EMD-LSTM prediction model in information system load trend prediction.

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Simon, Jeyasheela Rakkini, and K. Geetha. "Block Mining reward prediction with Polynomial Regression, Long short-term memory, and Prophet API for Ethereum blockchain miners." ITM Web of Conferences 37 (2021): 01004. http://dx.doi.org/10.1051/itmconf/20213701004.

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The Ethereum blockchain is an open-source, decentralized blockchain with functions triggered by smart contract and has voluminous real-time data for analysis using machine learning and deep learning algorithms. Ether is the cryptocurrency of the Ethereum blockchain. Ethereum virtual machine is used to run Turing complete scripts. The data set concerning a block in the Ethereum blockchain with a block number, timestamp, crypto address of the miner, and the block rewards for the miner are explored for K means clustering for clustering miners with a unique crypto address and their rewards. Linear regression and polynomial regression are used for the prediction of the next block reward to the miner. The Long ShortTerm Memory (LSTM) algorithm is used to exploit the Ether market data set for predicting the next ether price in the market. Every kind of price and volume for every four hours is taken for prediction. The root mean square error of 34.9% is obtained for linear regression, the silhouette score is 71% for K-means clustering of miners with same rewards, with the optimal number of clusters obtained by Gap statistic method.

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Suganya, E., S. Sountharrajan, Shishir K. Shandilya, and M. Karthiga. "Mobile Cancer Prophecy System to Assist Patients: Big Data Analysis and Design." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3623–28. http://dx.doi.org/10.1166/jctn.2019.8336.

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The growth of cancer in India is growing hastily in recent years. Efficient monitoring and medication procedures are needed in high demand. Recent research states diagnose of cancer during its early break through will prevent mortality. The evolution of smart mobile devices paves its mutual focus in healthcare sectors. In this paper, an Intellectual model of disease diagnosis using the advantage of smart mobile devices has been proposed. This mobile based cancer diagnosis model uses a cloud environment for disease prediction and analysis. The Principal Component Analysis (PCA) technique is utilized to confiscate the superfluous features and choose the most appropriate features. Using the optimized features, cancer disease classification is accomplished using Support Vector Machines with sigmoid kernel function. SVM classifies the patients as normal and abnormal and the evaluated results are conveyed to the patients as well as the respective medical practitioners. The accuracy achieved through proposed model is satisfiable in comparison with other existing methods. Proposed Model incorporates with big data technologies to address the current issues of cancer system.

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Chadalavada, Rachel Joy, Srinivasaiah Raghavendra, and V. Rekha. "Electricity requirement prediction using time series and Facebooks PROPHET." Indian Journal of Science and Technology 13, no. 47 (December 19, 2020): 4631–45. http://dx.doi.org/10.17485/ijst/v13i47.1847.

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Chadalavada, Rachel Joy, Srinivasaiah Raghavendra, and V. Rekha. "Electricity requirement prediction using time series and Facebooks PROPHET." Indian Journal of Science and Technology 13, no. 47 (December 19, 2020): 4631–45. http://dx.doi.org/10.17485/ijst/v13i47.1847.

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Wan, Xiaolong, Yongling Zou, Juan Wang, and Weina Wang. "Prediction of shale oil production based on Prophet algorithm." Journal of Physics: Conference Series 2009, no. 1 (August 1, 2021): 012056. http://dx.doi.org/10.1088/1742-6596/2009/1/012056.

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Liao, Shujian, Chenbo Yang, and Dengao Li. "Improving precise point positioning performance based on Prophet model." PLOS ONE 16, no. 1 (January 19, 2021): e0245561. http://dx.doi.org/10.1371/journal.pone.0245561.

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Precision point positioning (PPP) is widely used in maritime navigation and other scenarios because it does not require a reference station. In PPP, the satellite clock bias (SCB) cannot be eliminated by differential, thus leading to an increase in positioning error. The prediction accuracy of SCB has become one of the key factors restricting positioning accuracy. Although International GNSS Service (IGS) provides the ultra-rapid ephemeris prediction part (IGU-P), its quality and real-time performance can not meet the practical application. In order to improve the accuracy of PPP, this paper proposes to use the Prophet model to predict SCB. Specifically, SCB sequence is read from the observation part in the ultra-rapid ephemeris (IGU-O) released by IGS. Next, the SCB sequence between adjacent epochs are subtracted to obtain the corresponding SCB single difference sequence. Then using the Prophet model to predict SCB single difference sequence. Finally, the prediction result is substituted into the PPP positioning observation equation to obtain the positioning result. This paper uses the final ephemeris (IGF) published by IGS as a benchmark and compares the experimental results with IGU-P. For the selected four satellites, compared with the results of the IGU-P, the accuracy of SCB prediction of the model in this paper is improved by about 50.3%, 61.7%, 60.4%, and 48.8%. In terms of PPP positioning results, we use Real-time kinematic (RTK) measurements as a benchmark in this paper. Positioning accuracy has increased by 26%, 35%, and 19% in the N, E, and U directions, respectively. The results show that the Prophet model can improve the performance of PPP.

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Polin, Claire. "The Composer as Seer, but not Prophet." Tempo, no. 190 (September 1994): 13–18. http://dx.doi.org/10.1017/s0040298200003673.

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Have composers developed a new role in our time? Are creative musicians today, by the gifts given to them, foretelling Armageddon, the musical Nostrodamuses of our day? Does Steve Reich's recent opera The Cave, despite its avowed peaceful message, actually foretell the Hebron massacre of last February? Are the sombre works of the Russian composers Alfred Schnittke and Sofia Gubaidulina predicting events of a similar nature, which are just waiting to be interpreted from the musical sounds to meaningful dialogue?

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Jansen, Sandra. "Predicting the future of English." English Today 34, no. 1 (July 24, 2017): 52–55. http://dx.doi.org/10.1017/s026607841700027x.

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Predicting the future of English has been an exercise linguists have engaged with in academic settings for a long time, e.g. Sélincourt (1928), Jagger (1940), Quirk (1972) and Kortmann (2001). Mair (2013: 314) remarks that ‘in spite of the known risks involved in the task, there is no dearth of prophets in the linguistic community’. While he does not discuss the ‘known risks’ in his chapter, he does show that a lot of these predictions have not become true over the course of time.

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Lioexander, Fernando, and Abba Suganda Girsang. "Prophet Architecture in Normalized Meter Energy Consumption Prediction on Building." Advances in Science, Technology and Engineering Systems Journal 5, no. 6 (December 2020): 1529–36. http://dx.doi.org/10.25046/aj0506183.

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Alloune, Hassiba. "July’s People: A Reversed Anticipation and Prediction of the Future Black Domination." IJOHMN (International Journal Online of Humanities) 6, no. 1 (February 13, 2020): 105–14. http://dx.doi.org/10.24113/ijohmn.v6i1.163.

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Nadine Gordimer’s July’s People, is a good example of a contemporary novel that reverses the so-called naturel division between black and white people. As a matter of fact, black nation holds power and protection, which they lacked in time of the Apartheid system because it was on the hands of their controversialists -white people. This novel seems to be a prophecy of the decline of this arbitrary system that meant the declined of white people’s privileged life that went from the sub-urban to a non‑suburban life. From Derrida’s theory of deconstruction, the reality of white people becomes upside down due to their color, origins and their presence in Africa. Therefore, they lost their position, their wealth, and at worse their power.

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Campion, Nicholas. "The Shock of the New: The Origin of the Age of Aquarius and the 2012 Phenomenon." Culture and Cosmos 15, no. 01 (June 2011): 11–27. http://dx.doi.org/10.46472/cc.0115.0205.

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The recent attention paid to the prophecy that December 2012 was to be a pivotal moment in world history has renewed interest in the relationship between astronomy and apocalyptic ideas. This paper examines the background to the ‘2012 Phenomenon’ by exploring the origins of the idea of the Age of Aquarius. It concludes that the Age is best understood as a means of objectifying the prediction of a future golden age by reference to measurable astronomical certainties. In line with the revolutionary traditions of western millenarianism, the Aquarian Age is counter-cultural and opposed to political and religious authorities.

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Strange, Carolyn. "The Personality of Environmental Prediction: Griffith Taylor as 'Latter-day Prophet'." Historical Records of Australian Science 21, no. 2 (2010): 133. http://dx.doi.org/10.1071/hr09026.

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Environmental prediction is a practice that may establish and enhance the status of predictors but it also carries risks that vary in relation to the professional and political contexts of its communication. Exploring the lives of scientists involved in the difficult task of environmental prediction highlights the significance of personal identities in the cultural history of science. Geographer Griffith Taylor (1880?1963), whose raison d'�tre was environmental prediction, is an ideal subject to examine from this perspective. Facing opposition to his early predictions of Australia's limited settlement prospects, owing to the continent's aridity, he used intemperate language to deliver sober warnings and sparred with naysayers and doubters in the popular media. By the 1920s he saw himself as a ?latter-day prophet', and he carried that sense of self forward when he moved to North America in 1928. Yet in Canada his environmental predictions, although favourable, were considered overly optimistic and often disregarded altogether. This prophet realized that he was happier being attacked than ignored. Taylor's career suggests that positive prognostication, when dismissed, offers less personal compensation than cautionary prophesies that face opposition in hostile political or intellectual contexts.

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Journal articles on the topic 'Predictive Prophecy'

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