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1
Harris, Mason. "The Time Machine by H. G. Wells." ESC: English Studies in Canada 27, no. 1-2 (2001): 230–33. http://dx.doi.org/10.1353/esc.2001.0019.
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Shackleton, David. "H. G. WELLS, GEOLOGY, AND THE RUINS OF TIME." Victorian Literature and Culture 45, no. 4 (November 8, 2017): 839–55. http://dx.doi.org/10.1017/s1060150317000249.
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H. G. Wells's The Time Machine (1895) has hitherto been read in two principal scientific contexts: those of evolutionary biology and thermodynamic physics. Numerous critics have situated the romance in the context of evolutionary biology and contemporary discourses of degeneration (McLean 11–40; Greenslade 32–41). Others have discussed it in the context of thermodynamic physics. For instance, Bruce Clarke has read The Time Machine as “a virtual allegory of classical thermodynamics,” and shows that its combination of physical and social entropy reflects a wider transfer within the period of concepts and metaphors from physical science to social discourses of degeneration (121–26). Neatly linking these scientific contexts with issues of form, Michael Sayeau has argued that the social and physical entropy that are themes of the romance are reflected in its narrative structure, which manifests a type of narrative entropy, and thereby raises the spectre of the end of fiction (109–46).
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Minaieva, E. V. "Conceptological analysis of artistic space in novel „The Time Machine" by H. G. Wells (translated into Russian)." Bulletin of Luhansk Taras Shevchenko National University, no. 4 (335) (2020): 151–60. http://dx.doi.org/10.12958/2227-2844-2020-4(335)-151-160.
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The article discusses the features of modeling artistic space in novel The Time Machine, by H. G. Wells through a complex system of concepts top, bottom, fear, darkness, light. The constant interaction of these concepts leads to increased permeability of their boundaries, to a continuous exchange of conceptual features. The artistic space in the novel by H. G. Wells has a pronounced vertical character. We have identified the universal axis of top-bottom concepts in the artistic space and analyzed it. Movement along the vertical axis of the up and down concepts is carried out throughout the novel. In the novel The Time Machine, the features of the top concept become blurred, as they are overlaid with the features of the bottom concept. In the novel by H. G. Wells, the emotive concept of fear forms a fusion with the concepts of darkness and light. Fear unites different levels of the novel's artistic space. The binary concepts of darkness and light actively model the artistic space in novel The Time Machine. These concepts are closely related to the binary opposition of top-bottom concepts. In addition, they perform ontological, epistemological, axiological and aesthetic functions. The study of the features of artistic space in the novel The Time Machine opens up opportunities for further research of the artistic model of the world by H. G. Wells and the problems of modeling artistic space in the literature.
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Arteaga Martínez, Alejandro. "Un viaje hacia el pasado mexicano: Diego Cañedo, seguidor de H. G. Wells." Catedral Tomada. Revista de crítica literaria latinoamericana 9, no. 17 (January 10, 2022): 226–51. http://dx.doi.org/10.5195/ct/2021.480.
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Palamás, Echevete y yo o el lago asfaltado (Palamás, Echevete and I or the asphalted lake), Mexican Diego Cañedo’s second novel (1945), elaborates the time travel to the Mexican past. The sci-fi theme of the novel sustains a social criticism, and imitates H. G. Wells’ The Time Machine plot. In this essay, the sociocritical part of Cañedo’s work is studied, on one hand, because it seems to respond to the social problems of the period 1934-1946; and, on the other hand, because the relations established with Wells’ novel.
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Mohmad Aslam Najar. "The Time Machine: A Brief Review." Creative Launcher 4, no. 1 (April 30, 2019): 38–40. http://dx.doi.org/10.53032/tcl.2019.4.1.06.
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The father of science fiction novel, H. G. Wells (1866-1946) wrote ‘The Time Machine’ in 1895. The Novel highlights the disillusionment and disappointment of modern science. The tale claims of science to improve life seem hollow as inequality and oppression aggrandized with the progress of science. The horror of progress is shown by the morlocks- Eloi division in future. Dreams of socialism and communism turned into nightmares. Time traveller although travelled ahead but he sees regression and capitalist dominated world. Morlocks (working class) feed Eloi (capitalist class). They live subterranean and nocturnal where as Elio live upper ground superior and authoritarian.
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Guinter, Robert H. "The Time Machine." Pediatrics In Review 9, no. 6 (December 1, 1987): 171–72. http://dx.doi.org/10.1542/pir.9.6.171.
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Just before Christmas, my 12-year-old son was reading The Time Machine by H. G. Wells. According to the story, the driver of this machine could travel to any date in the past or future, and he could return to the present time whenever he wished. We enjoyed talking about the story and about how much fun it would be to own a time machine. Where would we go and what would we see? He decided, among other things, that we should see his grandparents as children, to see whether their way of life really was as different from his as they say it was. Then we should visit some famous persons from the past and witness some great event, such as a Civil War battle. Then we should look to the future. What will we be like in 10 or 20 years? What will our city or country be like in 100 or 1,000 years? What will our planet be like in 1 million years? We thoroughly enjoyed ourselves as we talked about owning and using such a machine.
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Valentine, Colton. "H. G. Wells and the Fin-de-Siècle Gustatory Paradox." Review of English Studies 71, no. 302 (February 14, 2020): 937–51. http://dx.doi.org/10.1093/res/hgaa002.
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Abstract Beginning with a little-studied scene linking H. G. Wells’s ‘A Misunderstood Artist’ to Joris-Karl Huysmans’s À Rebours, this essay argues that a shared gustatory paradox runs from Huysmanian decadence, through the theories of Edwin Lankester and Max Nordau and into Wells’s writings. In each case, both a pragmatic and an aesthetic relationship to food can signify degeneration. The argument has three major stakes. The first is to reconstruct a robust intertextual relation between the oeuvres of Huysmans and Wells. The second is to complicate readings that cast two of Wells’s scientific romances, The Time Machine and The War of the Worlds, as mouthpieces for imperialist or (pseudo)scientific discourses (Anger, Brantlinger, Budd, Gailor, Gregory, Hendershot, Pick). The third is to build on recent studies of food representation in nineteenth-century literature and propose a novel interpretive method (Cozzi, Gyman, Lee). Taking up William Greenslade’s proposal that fictions construct a ‘network of resistances’ to discursive myths, I argue that gustatory scenes show Wells’s ‘network’ operating in a curious way. They neither kowtow to degeneration nor assume Greenslade’s active role of a ‘critical, combative humanist’. Instead, they give contradictory depictions of moralized eating that play out the myth’s structural paradox.
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Fagan, Joshua. "Invitations to New Worlds: The Potential of Hospitality for William Morris and H. G. Wells." Victorians: A Journal of Culture and Literature 144, no. 1 (2023): 168–85. http://dx.doi.org/10.1353/vct.2023.a913514.
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ABSTRACT: The enhanced accessibility of rail and steamship travel for the rising middle-classes transformed Victorian tourism, replacing the privileged classes’ Grand Tour with a new conception of hospitality that defied conventional social mores. The writings of H. G. Wells and William Morris navigate the modern pursuit of intense, revitalizing sensations that create fresh conceptions of society, in the process critiquing modern Britain’s one-sided celebration of industrialization and consumerism. Both authors explore relations between guests and hosts, particularly a host’s duty to reveal the unfamiliar and unexpected to the guest while also encouraging reflection and sober contemplation. In News from Nowhere , Morris portrays ideal hosts who help guests understand the possibilities of a utopian world. Alternatively, Wells’ The Island of Doctor Moreau and The Time Machine demonstrate the instability and malaise of guests left to explore an unknown, dystopian world with no reliable host for guidance.
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Berchez, Amanda Naves. "A forma do porvir: literatura vitoriana, a máquina, as classes ou sobre a ficção científica de H. G. Wells en fin de siècle e um estudo sobre The time machine." Literartes 1, no. 17 (December 30, 2022): 51–77. http://dx.doi.org/10.11606/issn.2316-9826.literartes.2022.184251.
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O principal objetivo deste artigo é demostrar como o romance vitoriano The time machine de H. G. Wells reverbera, pelas óticas da ficção científica e distópica, questões (de ordem, sobretudo, social) intensamente exploradas no gênero romanesco industrial, também nomeado condition-of-England novels, ao exemplo das lutas de classes e da desumanização para com o proletariado no nicho industrial. Para tanto, recuperamos tanto histórica quanto teoricamente todos os referidos gêneros e formas literários.
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Roy, Malay. "The Future of Nature Prophesied in the Select Futuristic Science-fictions of H. G. Wells." International Journal of English Literature and Social Sciences 8, no. 3 (2023): 478–81. http://dx.doi.org/10.22161/ijels.83.73.
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Eco-criticism is one of the most recent interdisciplinary fields of study to have risen in the domain of literature which includes ecology, ecosystem and various other environmental issues relating to nature and its myriad aspects. Also, the discussions in the domain have increased significantly. For the last three decades, the environment has been facing a whole range of threats by the human-centric present day society. Also, the environmental consciousness in literature is a matter of vital concern for the scholars and the academic alike, and the subsequent emergence of the green theory, i.e. Ecocriticism is a remarkable addition. It is a field of study wherein nature and literature are mingled. As natural resources are being used injudiciously, the ecological environment is fast losing its poise and equilibrium. The cycle of seasons is fast turning irregular leaving the environment with a whole range of limitations and existential hazards for the entire human race. This crisis is not a recent phenomenon. Rather, it has been continuing since the Victorian age–the age of rapid industrialization, which consequently led to various disastrous phenomena, such as deforestation, water pollution, air pollution, soil pollution etc. Various scientific experimentations and developments have also brought harm to nature. The present paper attempts to show how H.G.Wells in his two novels, namely The Time Machine (1895) and The Island of Dr. Moreau (1896) prophesied the future of the environment in the light of the ideas laid down by the enterprise of science. The paper showcases how the characters of Wells forecast in their course of intersecting and interacting the two different natural worlds and play the role of a mediator between the two civilizations–one natural and the other reigned by science and the future. Through the literary analysis, the paper attempts to analyze not only the interrelationship shared between the human and the non-human worlds, but also, it lays bare the otherwise unwelcome outcomes of the man-nature interactions. In continuation of the analysis, the paper exhibits the demolition of the civilization as well as the environment through the film versions adapted by George Pal and David Duncan in 1960 and 2002 respectively under the same titles. In yet another novel titled The Island of Doctor Moreau(1896), Wells has shown how animals have been exploited for the sake of science and experimentation. The paper concludes how nature is confronting a great threat by the deliberate negligence of the human race, where there is a necessity to improve the correlation between human and nonhumans.
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Feder, Helena. "“The Ingenious Unravelling of Evidence”: Empathy, Extinction, and Wells’s The Croquet Player." Twentieth-Century Literature 65, no. 3 (September 1, 2019): 261–88. http://dx.doi.org/10.1215/0041462x-7852086.
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While we are increasingly challenged to imagine a world without humans, we have also become increasingly attentive to the subject of empathy, in popular culture, the humanities, and the sciences. In The Time Machine (1895), and a number of essays on evolution or extinction, H. G. Wells articulated a speculative evolutionary theory, a vision of nature unencumbered by everyday anthropocentricism. His little-known 1936 novella, The Croquet Player, continues his evolutionary story of humanity by turning to the future’s entanglement with the past and culture’s entanglement with nature. Prescient, Wells’s novella speaks to the parallel phenomena entangled in the strange relation between extinction and empathy.
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Pramuhadi, Gatot, Agus Sutejo, and Dionisius Dwi Wicaksono. "Performance Evaluation of Ball Mill Type Grinding Machine for Particle Size Reduction of Porang Glucomannan Crystals." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 13, no. 1 (February 6, 2024): 165. http://dx.doi.org/10.23960/jtep-l.v13i1.165-177.
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A wide gap in the price of glucomannan flour and porang tubers leads to develop a machine to process tubers into fine flour with good performance. The purpose of this research was to analyze and determine the performance of a ball mill machine on the flour yield as well as its quality. Research was conducted at PT Daud Teknik Maju Pratama from January – May 2023. Testings were carried out under two treatment factors, namely rotational speed (21.2 and 41.6 rpm) and processing time (0.5 h, 1.0 h, 1.5 h, 2 h). The test was carried out using 150 g sample for each treatment with three replications. The response variables included capacity, percentage of size reduction, material losses, engine power, and flour quality. The results showed that the optimum capacity of the ball mill machine was 12.5 kg/batch. The highest percentage of size reduction was 96.27% and the lowest material loss (3.73%) were obtained at 21.2 rpm for 0.5 h of miling process. Treatment with 41.6 rpm for 2 h produced the best flour quality with moisture content of 11.87% and fine flower yield of 63.97% passing through 100-mesh sieve. The power requirements of electric motors at 21.2 rpm and 41.6 rpm were 0.8063 kW and 0.9101 kW, respectively. The best milling capacity (1.560 g/min) was resulted at rotational speed of 62.27% CS. The ball mill machine showed superior results as compared to a disk mill which was not able to grind the glucomannan crystals up to 100-mesh size.Keywords: Ball mill, Glucomannan flour, Performance test, Porang, Refining.
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D'Avila, Leonardo. "As viagens no tempo nos contos de Sergio Buarque de Holanda e de Prudente de Moraes, neto." Terra Roxa e Outras Terras: Revista de Estudos Literários 38 (June 22, 2020): 56. http://dx.doi.org/10.5433/1678-2054.2020v38p56.
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O artigo investiga as primeiras manifestações das vanguardas surrealistas no Brasil, a partir dos contos F-1, de 1923, e As mortes de Nero: ou o perigo das deduções, de 1924, escritos respectivamente por Sergio Buarque de Holanda e Prudente de Moraes, neto, os editores da revista modernista Estética (1924-1925). Baseados na ficção científica The Time Machine de G. H. Wells, ambos os autores rompem com a verossimilhança e com a estrutura da narrativa para produzir autênticas ficções fora da ciência sobre viagens no tempo, nas quais sobressaem certa anacronia entre presente, passado e futuro, além de discussões sobre o choque da invenção vanguardista perante a opinião pública. Podese perceber com as análises dos contos e de seus contextos de publicação que essas primeiras experiências surrealistas não podem ser compreendidas como meras adesões a determinada poética, como a dos manifestos de André Breton, senão que advêm de uma estética plural e de uma considerável heterogeneidade de ideias.
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Troncoso Espinosa, Fredy Humberto, Yamil Gerard Avello Betancur, and Luis Andres Martinez Flores. "Prediction of cellulose sheet cutting using Machine Learning." Universidad Ciencia y Tecnología 25, no. 110 (August 26, 2021): 109–18. http://dx.doi.org/10.47460/uct.v25i110.481.
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Cellulose is the main raw material for the production of paper. Companies that produce it present in their production line the cutting of the cellulose sheet. This failure is sporadic and has a high economic impact since it paralyzes the production line for several hours, incurring unproductive hours and a large deployment of human and financial resources. In this research, the use of Data Mining is proposed to define a machine learning algorithm that allows predicting the cutting of the cellulose sheet in a production line of a cellulose plant in Chile. The results show that by applying this technique it is possible to predict the cutting of the cellulose sheet well in advance to take corrective actions to avoid cutting and thus minimize the economic impact associated with the failure.
Keywords: Data Mining, machine learning, cellulose, productivity.
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McLean, Steven. "H. G. Wells: Traversing Time." Utopian Studies 16, no. 2 (2005): 320–23. http://dx.doi.org/10.2307/20718751.
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McLean, Steven. "H. G. Wells: Traversing Time." Utopian Studies 16, no. 2 (2005): 320–23. http://dx.doi.org/10.5325/utopianstudies.16.2.0320.
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Zhu, Zhihui, Kai Yang, and YuTing He. "Research on Detection of Fertility of Group Hatching Eggs Based on Adaptive Image Segmentation." Applied Engineering in Agriculture 38, no. 2 (2022): 283–91. http://dx.doi.org/10.13031/aea.14849.
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HighlightsAn adaptive group eggs segmentation was proposed, which separates a single egg from the group eggs image.Key color features and texture features were extracted from the RGB and HSI histograms, respectively.The Support Vector Machine (SVM) model and Least Squares Support Vector Machine (LS-SVM) model were built to distinguish infertile egg and dead-embryo egg, respectively.LS-SVM model reached 100% accuracy for infertile eggs on day 4 of incubation, and dead-embryo eggs on day 10 of incubation.Abstract. For the incubation factory, it is of vital importance to detect infertile eggs and dead-embryo eggs in the industrial egg trays as early as possible. In this article, an activity detection computer vision system was proposed and evaluated. Due to the dense layout of eggs in industrial egg trays, the image segmentation task to separate each single egg becomes difficult. To this end, an adaptive image segmentation method for group eggs was proposed. Firstly, the binary image was obtained by the Canny operator using dynamic threshold and processed to reduce redundant information. Then ellipse fitting was employed to obtain the egg contour of the single egg. Moreover, the Red, Green, Blue (RGB) and Hue, Saturation, Intensity (HSI) histograms were selected for feature extraction. According to the analysis on color features and texture features of the images, 13 features [positions for peak values of R and I in histogram, peak values of G and I within histogram, averages of R and G, variances of R and G, contrast, roughness, inverse different moment (IDM), correlation and angular second moment (ASM)] were chosen as the criterion for detecting dead-embryo eggs. Meanwhile, 12 features (positions for peak values of R, G, H, and I in histogram, averages of R and G, slope and variance of G, contrast, roughness, IDM, and correlation) were selected for detecting infertile eggs. Lastly, the Support Vector Machine (SVM) model and Lease Squares Support Vector Machine (LS-SVM) model were built to distinguish infertile egg and dead-embryo egg, respectively. According to the comparison, the LS-SVM model reached higher accuracy in determining infertile egg and dead-embryo egg than the SVM model, with less time consumed. The LS-SVM model reached 100% accuracy in detection for infertile eggs on day 4 of incubation, as well as for dead-embryo eggs on day 10 of incubation. The result demonstrated that the proposed method can conduct the activity detection for group eggs both accurately and fast, which meets the commercial requirement for non-destructive detection in the hatchery industry. Keywords: Adaptive image segmentation, Computer vision, Fertility, Group hatching eggs, LS-SVM, Non-destructive detection, SVM
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Arni, Stephan, Citak Necati, Tatsuo Maeyashiki, Isabelle Opitz, and Ilhan Inci. "Perfluorocarbon-Based Oxygen Carriers and Subnormothermic Lung Machine Perfusion Decrease Production of Pro-Inflammatory Mediators." Cells 10, no. 9 (August 30, 2021): 2249. http://dx.doi.org/10.3390/cells10092249.
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The quality of marginal donor lungs is clinically assessed with normothermic machine perfusion. Although subnormothermic temperature and perfluorocarbon-based oxygen carriers (PFCOC) have proven favourable for other organ transplants, their beneficial use for ex vivo lung perfusion (EVLP) still requires further investigation. In a rat model, we evaluated on a 4 h EVLP time the effects of PFCOC with either 28 °C or 37 °C perfusion temperatures. During EVLP at 28 °C with PFCOC, we recorded significantly lower lung pulmonary vascular resistance (PVR), higher dynamic compliance (Cdyn), significantly lower potassium and lactate levels, higher lung tissue ATP content, and significantly lower myeloperoxidase tissue activity when compared to the 37 °C EVLP with PFCOC. In the subnormothermic EVLP with or without PFCOC, the pro-inflammatory mediator TNFα, the cytokines IL-6 and IL-7, the chemokines MIP-3α, MIP-1α, MCP-1, GRO/KC as well as GM-CSF, G-CSF and the anti-inflammatory cytokines IL-4 and IL-10 were significantly lower. The 28 °C EVLP improved both Cdyn and PVR and decreased pro-inflammatory cytokines and pCO2 levels compared to the 37 °C EVLP. In addition, the 28 °C EVLP with PFCOC produced a significantly lower level of myeloperoxidase activity in lung tissue. Subnormothermic EVLP with PFCOC significantly improves lung donor physiology and ameliorates lung tissue biochemical and inflammatory parameters.
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Ihlenfeldt, Steffen, Welf-Guntram Drossel, Martin Kausch, Christian Friedrich, Torben Wiese, and Lysander Jankowsky. "SEAMHex - Fast 6D Additive Manufacturing using an innovative Screw Extruder applied on a Hexapod Parallel Kinematic." Technologies for Lightweight Structures (TLS) 5, no. 1 (March 2, 2022): 1–14. http://dx.doi.org/10.21935/tls.v5i1.166.
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The Screw Extrusion Additive Manufacturing (SEAM) technology provides output rates up to 10 kg/h, a melt pressure up to 350 bar and temperatures up to 400 °C as well as strands with an adjustable bead width between 1-8 mm. Due to a bypass nozzle, position jumps without material extrusion, local wall thickness reduction, and the control of the volume flow (0-100 %) are made possible. Further, the extruder is able to process fiber-reinforced as well as highly filled plastics and integrates a regranulation system to return bypassed material into the process. The hexapod parallel kinematic meets the process requirements, as it generates a rapid movement of the workpiece (up to 1 m/s) in 6 degrees of freedom within a large printing workspace (1100 × 800 x 600 mm3), where an additional Z-axis carries the extruder and realizes the part height. Eccentric joints provide high accuracy and stiffness while being cost-efficient at the same time. The commercial Beckhoff TwinCAT control allows G-code processing and provides an HTML based GUI for machine and extruder control. Consequently, high accuracy is achieved, which is verified by the use of a double-ball-bar measuring device and by producing a test workpiece.
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Manlove, Colin. "Charles Kingsley, H. G. Wells, and the Machine in Victorian Fiction." Nineteenth-Century Literature 48, no. 2 (September 1993): 212–39. http://dx.doi.org/10.2307/2933891.
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Manlove, Colin. "Charles Kingsley, H. G. Wells, and the Machine in Victorian Fiction." Nineteenth-Century Literature 48, no. 2 (September 1993): 212–39. http://dx.doi.org/10.1525/ncl.1993.48.2.99p0005x.
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Edgecombe, Rodney Stenning. "A Source for H. G. Wells’s Time Machine." Notes and Queries 59, no. 3 (July 4, 2012): 410–11. http://dx.doi.org/10.1093/notesj/gjs084.
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Reed, John Robert. "Building Cosmopolis: The Political Thought of H.G. Wells, and: H. G. Wells: Traversing Time (review)." Victorian Studies 47, no. 3 (2005): 461–63. http://dx.doi.org/10.1353/vic.2005.0105.
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S, Prabhjeet, Meena A K, and Jesil M. "ANTIPLAQUE EFFICACY OF GANODERMA LUCIDUM TOOTHPASTE - AN IN VITRO STUDY." Asian Journal of Pharmaceutical and Clinical Research 11, no. 11 (November 7, 2018): 300. http://dx.doi.org/10.22159/ajpcr.2018.v11i11.27465.
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Objective: The objective of the study was to evaluate the efficacy of Ganoderma lucidum toothpaste as an antiplaque agent and to compare its efficacy with herbal toothpaste and mouthwash.Methods: Pooled saliva was collected in a sterile container from the volunteers after taking the consent. Tissue culture plate with 12 (3 × 4) wells was chosen. Pooled saliva of 20 mL was added to each well using the micropipette and was kept in the incubator at 37°C for 72 h. After 72 h, saliva was removed without touching the walls or the base of the wells. Each row was treated either with slurry prepared with Ganoderma/herbal/Colgate total toothpaste or herbal/chlorhexidine mouthwash/distilled water. One row of wells was kept as a control using erythrosine dye. After 30 s, all the wells were rinsed with distilled water. Erythrosine dye was added to all the wells, kept for 30 s, and rinsed with distilled water. The tissue culture plate was kept in the ELx800MS machine (ELISA reader) which was set at 540 nm, and the readings were obtained.Results: The results showed that G. lucidum toothpaste slurry reduced plaque than herbal and chlorhexidine mouthwash. However, there was no significant difference in plaque reduction between herbal and G. lucidum toothpaste slurries.Conclusion: The present study concluded that G. lucidum had better antiplaque efficacy than herbal toothpaste, herbal mouthwash, and chlorhexidine mouthwash.
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Tuerk, Richard. "Upper-Middle-Class Madness: H. G. Wells' Time Traveller Journeys to Wonderland." Extrapolation 46, no. 4 (January 2005): 517–26. http://dx.doi.org/10.3828/extr.2005.46.4.9.
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FLAHERTY, SEAMUS. "‘The Machine Stops’: E. M. Forster's Esoteric Critique of H. G. Wells’ A Modern Utopia." History 105, no. 366 (June 29, 2020): 422–45. http://dx.doi.org/10.1111/1468-229x.13022.
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Kuzina, E. V. "COMPARATIVE EFFECTIVENESS OF TILLAGE METHODS IN REGULATING THE CONTAMINATION OF AGRICULTURAL CROPS." Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. Agricultural Sciences 1, no. 3 (2022): 3–7. http://dx.doi.org/10.37313/2782-6562-2022-1-3-3-7.
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The article presents the results of evaluating the anti-weed effectiveness of the methods of basic tillage and their effect on the quantitative and species composition of weeds in the field crop rotation with the following alternation: 1-h / pair; 2-winter wheat; 3-spring wheat; 4-mustard (siderate); 5-winter wheat; 6-barley. The research was carried out on the experimental field of the Ulyanovsk Research Institute- branch of the Scientific Research Center of the Russian Academy of Sciences in 2015-2021. The usual dump and non-dump, as well as fine mulching, zero and ridge tillage were studied. Autumn plowing at 20-22cm was taken as a control in the experiments. (PLN-4-35). Analysis of the infestation of fields at the time of harvest indicates that the annual plowing by 20-22 cm was distinguished by increased anti-weed efficiency, where the total number of weeds averaged 18.1 pcs./m2 with a weight of 24.9 g/m2. Of the ploughless options, the less clogged ones were those with a 20-22cm non-fallow treatment, with shallow comb-back treatment and comb-back with soil deepening, where the number of weeds remained at the control level. 17,9-18,4-18,1 pcs / m2, but there was an increase in the mass of weeds by 5-12%. Variants of fine processing, surface peeling with a stubble-laying machine and without autumn mechanical processing contributed to an increase in the weeding of crops compared to plowing, both in terms of quantity and above-ground mass of weeds by 10-12-15%, and 12-19%. It was noted that the formation of significantly larger biomass and the number of juvenile weeds was ensured on fertilized backgrounds, the harmfulness of perennial weeds decreased with an increase in the level of fertilization.
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Riddick, Stuart N., Mercy Mbua, John C. Riddick, Cade Houlihan, Anna L. Hodshire, and Daniel J. Zimmerle. "Uncertainty Quantification of Methods Used to Measure Methane Emissions of 1 g CH4 h−1." Sensors 23, no. 22 (November 17, 2023): 9246. http://dx.doi.org/10.3390/s23229246.
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The recent interest in measuring methane (CH4) emissions from abandoned oil and gas wells has resulted in five methods being typically used. In line with the US Federal Orphaned Wells Program’s (FOWP) guidelines and the American Carbon Registry’s (ACR) protocols, quantification methods must be able to measure minimum emissions of 1 g of CH4 h−1 to within ±20%. To investigate if the methods meet the required standard, dynamic chambers, a Hi-Flow (HF) sampler, and a Gaussian plume (GP)-based approach were all used to quantify a controlled emission (Qav; g h−1) of 1 g of CH4 h−1. After triplicate experiments, the average accuracy (Ar; %) and the upper (Uu; %) and lower (Ul; %) uncertainty bounds of all methods were calculated. Two dynamic chambers were used, one following the ACR guidelines, and a second “mobile” chamber made from lightweight materials that could be constructed around a source of emission on a well head. The average emission calculated from the measurements made using the dynamic chamber (Qav = 1.01 g CH4 h−1, Ar = +0.9%), the mobile chamber (Qav = 0.99 g CH4 h−1, Ar = −1.4%), the GP approach (Qav = 0.97 g CH4 h−1, Ar = −2.6%), and the HF sampler (Qav = 1.02 g CH4 h−1, Ar = +2.2%) were all within ±3% of 1 g of CH4 h−1 and met the requirements of the FOWP and ACR protocols. The results also suggest that the individual measurements made using the dynamic chamber can quantify emissions of 1 g of CH4 h−1 to within ±6% irrespective of the design (material, number of parts, geometrical shape, and hose length), and changes to the construction or material specifications as defined via ACR make no discernible difference to the quantification uncertainty. Our tests show that a collapsible chamber can be easily constructed around the emission source on an abandoned well and be used to quantify emissions from abandoned wells in remote areas. To our knowledge, this is the first time that methods for measuring the CH4 emissions of 1 g of CH4 h−1 have been quantitively assessed against a known reference source and against each other.
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Duplyakin, Dmitry, Koenraad F. Beckers, Drew L. Siler, Michael J. Martin, and Henry E. Johnston. "Modeling Subsurface Performance of a Geothermal Reservoir Using Machine Learning." Energies 15, no. 3 (January 28, 2022): 967. http://dx.doi.org/10.3390/en15030967.
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Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells—increasing or decreasing the fluid flow rates across the wells—and drilling new wells at appropriate locations. The latter is expensive, time-consuming, and subject to many engineering constraints, but the former is a viable mechanism for periodic adjustment of the available fluid allocations. In this study, we describe a new approach combining reservoir modeling and machine learning to produce models that enable such a strategy. Our computational approach allows us, first, to translate sets of potential flow rates for the active wells into reservoir-wide estimates of produced energy, and second, to find optimal flow allocations among the studied sets. In our computational experiments, we utilize collections of simulations for a specific reservoir (which capture subsurface characterization and realize history matching) along with machine learning models that predict temperature and pressure timeseries for production wells. We evaluate this approach using an “open-source” reservoir we have constructed that captures many of the characteristics of Brady Hot Springs, a commercially operational geothermal field in Nevada, USA. Selected results from a reservoir model of Brady Hot Springs itself are presented to show successful application to an existing system. In both cases, energy predictions prove to be highly accurate: all observed prediction errors do not exceed 3.68% for temperatures and 4.75% for pressures. In a cumulative energy estimation, we observe prediction errors that are less than 4.04%. A typical reservoir simulation for Brady Hot Springs completes in approximately 4 h, whereas our machine learning models yield accurate 20-year predictions for temperatures, pressures, and produced energy in 0.9 s. This paper aims to demonstrate how the models and techniques from our study can be applied to achieve rapid exploration of controlled parameters and optimization of other geothermal reservoirs.
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Bowden, Mary. "H. G. Wells's Plant Plot: Horticulture and Ecological Narration inThe Time Machine." Victorian Literature and Culture 47, no. 3 (2019): 603–28. http://dx.doi.org/10.1017/s1060150318001547.
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H. G. Wells'sThe Time Machine(1895) imagines the environmental consequences of two important Victorian horticultural trends: artificial selection and selective breeding. Victorian horticulturalists glorified these techniques as steps toward the subjugation of the natural environment. This horticultural narrative of environmental control seemingly reaches its apex in the novel's future world of 802,701: Wells's Time Traveller believes he has entered an environment perfectly engineered to suit human needs. While critical attention has typically focused on the novel's humans, I use its engagement with contemporary horticulture to describe a plant-centered plotline. Building on critical work that argues for the possibility of nonhuman narrative agency, I read the novel's plants as minor characters. I argue that Wells's novel pits its plant and human characters against one another in competing plotlines, in a narrative refraction of ecological competition. Earlier ecocritical analyses of Victorian works have pointed to the harmonious entanglement of humans with the nonhuman vegetal environment. I argue that ecological competition, as exemplified both in horticultural narratives’ descriptions of environmental subjugation and in Wells's competing plant and human plots, was also a significant source of inspiration for Victorian environmental depictions.
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Carpenter, Chris. "Big Data and Machine Learning Optimize Operational Performance and Drill-Bit Design." Journal of Petroleum Technology 73, no. 12 (December 1, 2021): 49–50. http://dx.doi.org/10.2118/1221-0049-jpt.
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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 202243, “Use of Big Data and Machine Learning To Optimize Operational Performance and Drill-Bit Design,” by Simon Cornel, SPE, Baker Hughes, and Gonzalo Vazquez, Senex Energy, prepared for the 2020 SPE Asia Pacific Oil and Gas Conference and Exhibition, originally scheduled to be held in Perth, Australia, 20–22 October. The paper has not been peer reviewed. Time savings and bit longevity are major challenges in coal-seam gas (CSG) unconventional fields onshore Queensland. Maximizing rate of penetration (ROP) on the basis of optimal drilling parameters was the key to tackling these issues. A formal process for optimizing performance was developed, with a focus on optimizing polycrystalline diamond compact (PDC) bit design and drilling hydraulics and developing a drillers’ road map. As a result, ROP increased from 50 to 150 m/h. Time savings of more than 150 hours for the drilling campaign was achieved. Background The drilling campaign encompassed two areas for development. Field A is a CSG acreage 45 km southwest, and Field E 30 km northeast, of Wandoan, Queensland. Eighty vertical wells would be drilled across the two fields. This would provide the opportunity to trial the data-mapping concept to increase ROP and fine-tune bit designs to improve longevity. In addition, the rig-sensor data set provided the basis for creating a machine-learning model to help improve drilling parameters during the production-drilling phase. Drilling Challenges The three primary challenges to be addressed included the following: - Economics for unconventional fields, specifically delivering time savings in order to lower the average cost per well - Control vibrations to avoid twistoffs and bottomhole-assembly fatigue - Consistent performance The benchmark for the initial project was an on-bottom ROP of 80 m/h. Therefore, the target for this campaign was to achieve an average on-bottom ROP of over 100 m/h and drilling-time savings of 1 hour per well. Methodology Bit optimization typically has been an iterative process, taking bit-record information to make assumptions about bit performance before providing recommendations for the next well. A more-detailed approach may include the use of log data (i.e., gamma ray and sonic) to estimate rock strength and overlay the depth-based well data to identify key incidents that affected performance (both positive and negative) so such incidents can be mitigated in future wells. This approach, while exhaustive, takes time to complete and is open to subjective interpretation of the engineer performing the analysis. When drilling CSG wells, typical well duration is 3–5 days. With short turn-around times between wells to analyze the data, the goal in this study was to develop an automated approach using real-time data gathered from the rig and present it to the field and rig crew in a visualized method. A two-step approach was devised in which data from the rig was used, followed by a real-time model.
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Parrinder, Patrick, Harry M. Geduld, and H. G. Wells. "The Definitive Time Machine: A Critical Edition of H. G. Wells's Scientific Romance." Yearbook of English Studies 20 (1990): 319. http://dx.doi.org/10.2307/3507607.
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Hou, Weili. "Analysis of Key Indicators in English Teaching Evaluation Based on Big Data Model." Scientific Programming 2022 (January 18, 2022): 1–14. http://dx.doi.org/10.1155/2022/1231700.
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With the advent of the era of big data, the traditional English teaching methods in the past can no longer accurately assess the comprehensive level of English teachers and classrooms because of various factors. In order to reexamine and plan English teaching content, based on the big data model, we will carefully analyze the key indicators in English teaching evaluation using computer technologies such as particle swarm optimization and support vector machine, hoping to dig out the characteristics of English education in a deeper way, so as to make a series of index adjustments to English classroom and improve English teaching level. The results of this study show the following: (1) The average accuracy of the evaluation index of the model designed in this study is as high as 96.56%; after 20 tests, the test time of this model method is the least, and the test time can be as low as 13.32 ms. (2) For eight first-class indexes of A, B, C, D, E, F, G, and H and 29 second-class indexes, the expert scores are all greater than 3.66, and the standard deviation is all less than 1, which accords with the standard of reaching common opinions. The key index test system is reasonable. (3) We find that the weights of A2, D1, H1, and H2 are all higher than 0.5, the weights of A1, B3, C5, E5, F4, and G4 are all higher than 0.3, and the weights of other indexes are all less than 0.3. This shows that each index has a different weight and emphasis on English teaching evaluation. (4) Taking a certain teacher as an example to assess English proficiency can effectively analyze the key indicators of English teachers and enable the teacher to make corresponding improvements and formulate strategies. On the whole, the teacher has strong writing ability and listening ability; the ability of speaking and translating is slightly weak, both of which are about 0.8; for listening analysis, idiom and sentence ability are generally to be enhanced, about 0.8. (5) The comprehensive scoring of English teaching is carried out, large difference in scoring values is avoided, and fairer test results are given. It is found that after big data analysis, the key indicators of English are analyzed accurately, the classroom teaching is diversified, and the students’ final classroom evaluation reflects well, so this method has obvious advantages.
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Carpenter, Chris. "Machine Learning Approach Empowers Well Placement in Tight Gas Field." Journal of Petroleum Technology 75, no. 07 (July 1, 2023): 89–91. http://dx.doi.org/10.2118/0723-0089-jpt.
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_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper IPTC 22188, “Machine-Learning-Empowered Well Placement in a Large Unconventional Tight Gas Field in China,” by Ting Yu, SLB; Xiangzeng Wang, Shaanxi Yanchang Petroleum; and Alexis Carrillat, SLB, et al. The paper has not been peer reviewed. Copyright 2022 International Petroleum Technology Conference. Reproduced by permission. _ A tight gas field produces gas from a large heterogeneous fluvial reservoir with limited well control in margins and appraisal areas and sparse advanced logs. The principal goal of the study described in the complete paper was to provide a novel solution using machine-learning (ML) techniques to predict sandstone distribution and, to some extent, automate the process of optimizing well placement. The presented work flow overcomes low data quality, scaling, and inconsistency and builds the bridge between geoscience and artificial intelligence (AI) software platforms. Introduction The field is an unconventional gas reservoir covering a vast area in the Ordos Basin in China. This field produces gas from a complex and heterogeneous fluvial reservoir with limited well control for prediction of sand-body distribution. Reservoir distribution and quality prognosis carry large uncertainties. The well spacing between exploration and appraisal wells is approximately 3–4 km; well control is sparser in resource-overlaying areas. As such, reservoir prediction using only well data is marked by uncertainties and can result in high geological risk in placing development wells. In addition to well data, 2D seismic lines cover the full field with a spacing of 2×4 km. The described work flow aims to use all geological and geophysical (G&G) information effectively to optimize well placement and minimize risk of dry wells. It can combine G&G software and AI platforms to deepen data mining and analyze correlations between the seismic waveform and sandstone distribution. This is achieved by using advanced ML algorithms to construct a 3D heterogeneity model with multiple variables. It enables quick organization of data for analysis and interpretation and becomes a tool for supporting real-time drilling. Objective The challenge in this fluvial reservoir is to replicate the sand-body-stacking relationships based on sparse and multiscale data integration. With that objective in mind, ML is an effective tool to automate geoscience work flows. In this study, a new work flow was created that takes advantage of ML in subsurface modeling for efficient and computationally inexpensive forecasting. This method incorporates ML in the context of decision support. The main objectives of the study include the following: - Automatically classify seismic attributes into waveforms and establish their correspondence to log motifs - Improve the effectiveness of 2D seismic data integration with well-log data - Generate a reservoir risk map based on seismic and log-data integration - Construct an advanced 3D geological model with multiple variables - Generate a more-objective interpretation by having less human inference in the data analysis - Bridge the gap between G&G and AI software platforms and lift current G&G software limitations This enabled use of advanced decision-tree-based ML algorithms to generate a geological model.
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McLean, S. "A Swiftian Fable: The Origin of Leather in H. G. Wells's The Time Machine." Notes and Queries 57, no. 2 (March 24, 2010): 236. http://dx.doi.org/10.1093/notesj/gjq033.
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Riley, J. S. "The Collision of Ages: H. G. Wells's Time Machine and its Reception of Hesiod." Notes and Queries 57, no. 2 (March 31, 2010): 236–39. http://dx.doi.org/10.1093/notesj/gjq039.
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Petrović, Goran J. "Mad scientists in H. G. Wells's early fiction." Brno studies in English, no. 1 (2023): 163–78. http://dx.doi.org/10.5817/bse2023-1-9.
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This article analyses six mad scientist characters from H. G. Wells's early fiction. The analysed mad scientists are as follows – the Bacteriologist from "The Stolen Bacillus", Hapley from "A Moth – Genus Novo", the Time Traveller from The Time Machine, Doctor Moreau from The Island of Doctor Moreau, Griffin from The Invisible Man, and Cavor from The First Men in the Moon. The article uses a broader definition of the mad scientist, one that includes not only evil scientific geniuses but also other, more benign characters, as long as they are eccentric enough to be considered mad. The said mad scientists are divided into three different categories, depending on whether they are evil, benign or neither of the two. The article shows that the analysed mad scientists reflect the early Wells's disbelief in the power of science to change the world for the better. It is also argued that Wells's varied body of mad scientists enriched and diversified the mad scientist trope in the history of the SF genre.
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Znojil, Miloslav. "Discrete-coordinate crypto-Hermitian quantum system controlled by time-dependent Robin boundary conditions." Physica Scripta 99, no. 3 (February 26, 2024): 035250. http://dx.doi.org/10.1088/1402-4896/ad298b.
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Abstract A family of exactly solvable quantum square wells with discrete coordinates and with certain non-stationary Hermiticity-violating Robin boundary conditions is proposed and studied. Manifest non-Hermiticity of the model in conventional Hilbert space H friendly is required to coexist with the unitarity of system in another, ad hoc Hilbert space H physical . Thus, quantum mechanics in its non-Hermitian interaction picture (NIP) representation is to be used. We must construct the time-dependent states (say, ψ(t)) as well as the time-dependent observables (say, Λ(t)). Their evolution in time is generated by the operators denoted, here, by the respective symbols G(t) (a Schrödinger-equation generator) and Σ(t) (a Heisenberg-equation generator, a.k.a. quantum Coriolis force). The unitarity of evolution in H physical is then guaranteed by the reality of spectrum of the energy observable alias Hamiltonian H(t) = G(t) + Σ(t). The applicability of these ideas is illustrated via an N by N matrix model. At N = 2, closed formulae are presented not only for the measurable instantaneous energy spectrum but also for all of the eligible time-dependent physical inner-product metrics Θ(N=2)(t), for the related Dyson maps Ω(N=2)(t), for the Coriolis force Σ(N=2)(t) as well as, in the very ultimate step of the construction, for the truly nontrivial Schrödinger-equation generator G (N=2)(t).
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Tewari, Saurabh, Umakant Dhar Dwivedi, and Susham Biswas. "A Novel Application of Ensemble Methods with Data Resampling Techniques for Drill Bit Selection in the Oil and Gas Industry." Energies 14, no. 2 (January 14, 2021): 432. http://dx.doi.org/10.3390/en14020432.
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Selection of the most suitable drill bit type is an important task for drillers when planning for new oil and gas wells. With the advancement of intelligent predictive models, the automated selection of drill bit type is possible using earlier drilled offset wells’ data. However, real-field well data samples naturally involve an unequal distribution of data points that results in the formation of a complex imbalance multi-class classification problem during drill bit selection. In this analysis, Ensemble methods, namely Adaboost and Random Forest, have been combined with the data re-sampling techniques to provide a new approach for handling the complex drill bit selection process. Additionally, four popular machine learning techniques namely, K-nearest neighbors, naïve Bayes, multilayer perceptron, and support vector machine, are also evaluated to understand the performance degrading effects of imbalanced drilling data obtained from Norwegian wells. The comparison of results shows that the random forest with bootstrap class weighting technique has given the most impressive performance for bit type selection with testing accuracy ranges from 92% to 99%, and G-mean (0.84–0.97) in critical to normal experimental scenarios. This study provides an approach to automate the drill bit selection process over any field, which will minimize human error, time, and drilling cost.
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Lee, Jaeho, Jaehwan Lee, Seokwon Shin, Youngdoo Son, and Young-Kyu Han. "Machine Learning for the Expedited Screening of Hydrogen Evolution Catalysts for Transition Metal-Doped Transition Metal Dichalcogenides." International Journal of Energy Research 2023 (September 8, 2023): 1–11. http://dx.doi.org/10.1155/2023/6612054.
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Two-dimensional transition metal dichalcogenides (TMDs) have gained attention as potent catalysts for the hydrogen evolution reaction (HER). The traditional trial-and-error methodology for catalyst development has proven inefficient due to its costly and time-intensive nature. To accelerate the catalyst development process, the Gibbs free energy of hydrogen adsorption ( Δ G H ∗ ), computed using the density functional theory (DFT), is widely used as the paramount descriptor for evaluating and predicting HER catalyst performance. However, DFT calculations for Δ G H ∗ are time-consuming and thus pose a challenge for high-throughput screening. Herein, we devise a predictive model for Δ G H ∗ within transition metal-doped TMD systems using a machine learning (ML) framework. We calculate DFT Δ G H ∗ values for 150 TM-doped MX2 (CrS2, MoS2, WS2, MoSe2, and MoTe2) and apply various ML algorithms. We validate the universality of our model by constructing 15 new external test sets. The prediction results show a high correlation coefficient of R 2 = 0.92 . Based on feature analysis, the three most important parameters are the number of valence electrons of the doped transition metal, the distance of the valence electrons of the doped transition metal, and the electronegativity of the doped transition metal. Our DFT-based ML model provides a useful guideline for the material development process through Δ G H ∗ prediction and facilitates the efficient design of transition metal dichalcogenide catalysts that exhibit superior HER activity.
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HEMPEL, A., N. BORCHERT, H. WALSH, K. ROY CHOUDHURY, J. P. KERRY, and D. B. PAPKOVSKY. "Analysis of Total Aerobic Viable Counts in Raw Fish by High-Throughput Optical Oxygen Respirometry." Journal of Food Protection 74, no. 5 (May 1, 2011): 776–82. http://dx.doi.org/10.4315/0362-028x.jfp-10-352.
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A simple, miniaturized, and automated screening assay for the determination of total aerobic viable counts in fish samples presented here. Fish tissue homogenates were prepared in peptone buffered water medium, according to standard method, and aliquots were dispensed into wells of a 96-well plate with the phosphorescent, oxygen-sensing probe GreenLight. Sample wells were covered with mineral oil (barrier for ambient oxygen), and the plate was monitored on a standard fluorescent reader at 30°C The samples produced characteristic profiles, with a sharp increase in fluorescence above the baseline level at a certain threshold time, which could be correlated with initial microbial load. Five different fish species were analyzed: salmon, cod, plaice, mackerel, and whiting. Using a conventional agar plating method, the relationship between the threshold time and total aerobic viable counts load (in CFU per gram) was established, calibration curve generated, and the test was validated with 169 unknown fish samples. It showed a dynamic range of 104 to 107 CFU/g, accuracy of plusmn;1 log(CFU/g), assay time of 2 to 12 h (depending the level of contamination), ruggedness with respect to the key assay parameters, simplicity (three pipetting steps, no serial dilutions), real-time data output, high sample throughput, and automation. With this test, quality of fish samples, CFU-per-gram levels, and their respective time profiles were determined.
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Singh, Prabhsimranjot, Makardhwaj S. Shrivastava, Daniel Benasher, Audrik Perez, and Philip Rubin. "Curious Case of Profound Thrombocytopenia in a Pregnant Woman." Blood 128, no. 22 (December 2, 2016): 4944. http://dx.doi.org/10.1182/blood.v128.22.4944.4944.
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Abstract Introduction: Pseudo-thrombocytopenia (PTCP) is a benign artifact which generates anxiety in the patients and physicians resulting in unnecessary investigations. We report a case with profound artefactual thrombocytopenia. Case: A 31-years-old female in 38th week of gestation was referred to hematology clinic for evaluation of a platelet count of 48x109/L. A month ago platelet count was 102x109/L. She denied any symptoms. Examination was normal with no ecchymosis or petechiae. Laboratory work showed a white cell count of 11.2x109/L, hemoglobin 10.3g/L, platelet count 8x109/L and no hemolysis. Peripheral blood smear showed numerous platelet clumps (Figure 1). Estimated manual platelet count was 200x109/L. To our surprise clumps and low machine count were seen in samples drawn in sodium citrate and heparin tubes as well. Discussion: Ethylenediaminetetra-acetic acid (EDTA) dependent PTCP is a rare phenomenon with incidence of 0.09%-0.21% in general population (1). It is present in healthy subjects (2), severely ill patients with sepsis (3), autoimmune, neoplastic and liver diseases (4). PTCP may persist for 15-20 years without any clinical manifestations (5). Platelet aggregation in PTCP is due to anti-platelet antibody mediated in-vitro activation via GPIIb receptors (6). Antibodies may be IgG, IgA or IgM (5). It may be seen in samples drawn in citrate (5) heparin (7) and sodium-oxalate (8). One should suspect PTCP when there is fall in platelet count (usually <100x109/L), time-dependent spurious elevation of white cells(9), a normal mean platelet volume (4) or microscopic detection of platelet aggregates (1) in a patient without clinical manifestations. There is a rare report that addition of amikacin could inhibit and dissociate pseudo platelet aggregation in multianticoagulant-dependent pseudo-thrombocytopenia and EDTA-induced pseudo-thrombocytopenia (10). Early identifications is extremely essential when therapeutic decision making hinges on platelet count viz. management of acute myocardial infarction (11).Use of samples at 37°C (2), ammonium oxalate (5, 7), addition of amikacin and peripheral smear review may help in complicated cases. References: 1. Yoneyama A, Nakahara K. [EDTA-dependent pseudothrombocytopenia--differentiation from true thrombocytopenia]. Nihon Rinsho. 2003;61(4):569-74. 2. Lippi G, Plebani M. EDTA-dependent pseudothrombocytopenia: further insights and recommendations for prevention of a clinically threatening artifact. Clin Chem Lab Med. 2012;50(8):1281-5. 3. Mori M, Kudo H, Yoshitake S, Ito K, Shinguu C, Noguchi T. Transient EDTA-dependent pseudothrombocytopenia in a patient with sepsis. Intensive Care Med. 2000;26(2):218-20. 4. Berkman N, Michaeli Y, Or R, Eldor A. EDTA-dependent pseudothrombocytopenia: a clinical study of 18 patients and a review of the literature. Am J Hematol. 1991;36(3):195-201. 5. Bizzaro N. EDTA-dependent pseudothrombocytopenia: a clinical and epidemiological study of 112 cases, with 10-year follow-up. Am J Hematol. 1995;50(2):103-9. 6. Fiorin F, Steffan A, Pradella P, Bizzaro N, Potenza R, De Angelis V. IgG platelet antibodies in EDTA-dependent pseudothrombocytopenia bind to platelet membrane glycoprotein IIb. Am J Clin Pathol. 1998;110(2):178-83. 7. Zandecki M, Genevieve F, Gerard J, Godon A. Spurious counts and spurious results on haematology analysers: a review. Part I: platelets. International Journal of Laboratory Hematology. 2007;29(1):4-20. 8. Schrezenmeier H, Muller H, Gunsilius E, Heimpel H, Seifried E. Anticoagulant-induced pseudothrombocytopenia and pseudoleucocytosis. Thromb Haemost. 1995;73(3):506-13. 9. Xiao Y, Xu Y. Concomitant spuriously elevated white blood cell count, a previously underestimated phenomenon in EDTA-dependent pseudothrombocytopenia. Platelets. 2015;26(7):627-31. 10. Zhou X, Wu X, Deng W, Li J, Luo W. Amikacin can be added to blood to reduce the fall in platelet count. Am J Clin Pathol. 2011 Oct;136(4):646-52. 11. Kocum TH, Katircibasi TM, Sezgin AT, Atalay H. An unusual cause of mismanagement in an acute myocardial infarction case: pseudothrombocytopenia. Am J Emerg Med. 2008;26(6):740 e1-2. Figure 1 Platelet Clumps- Magnification 60X Oil Figure 1. Platelet Clumps- Magnification 60X Oil Disclosures No relevant conflicts of interest to declare.
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Reed, John R. "BOOK REVIEW: John S. Partington.BUILDING COSMOPOLIS: THE POLITICAL THOUGHT OF H. G. WELLS. Aldershot and Burlington: Ashgate, 2003. and W. Warren Wagar.H. G. WELLS: TRAVERSING TIME. Middletown, CT: Wesleyan University Press, 2004." Victorian Studies 47, no. 3 (April 2005): 461–63. http://dx.doi.org/10.2979/vic.2005.47.3.461.
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Foster, Jonathan. "“Organised Clairvoyance”: Supranational Surveillance and Controlled Borderlessness in H. G. Wells’s A Modern Utopia." Zeitschrift für Anglistik und Amerikanistik 70, no. 2 (June 1, 2022): 145–57. http://dx.doi.org/10.1515/zaa-2022-2059.
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Abstract In A Modern Utopia (1905), H. G. Wells prophesised that emergent technologies of personal identification such as fingerprinting and central registries would enable the dismantling of national borders. Situating Wells’s novel as a literary expression of a period of experimentation in European mobility control at the turn of the twentieth century, this essay argues that Wells’s ideas about controlled borderlessness were indeed highly prescient, anticipating the recent rise of supranational mobility control à la the EU’s Schengen cooperation. If Wells’s theorisation of mobility control was ahead of its time, then so was his suspenseful narrative about undocumented aliens in utopia fearfully navigating a supranational surveillance state. In this essay I emphasise the correspondences between Wells’s delineation of controlled borderlessness and modern-day supranational mobility control, whilst also highlighting discrepancies and discordant notes in Wells’s bureaucratic-technocratic utopian vision.
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Li, Xin, Chun Liang Zhang, Li Jun Li, and Zhi Hu. "Research on Machine Vision in Forestry Pluck System." Advanced Materials Research 139-141 (October 2010): 2199–202. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.2199.
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Forestry industry is an important part of nation's economy. In this paper, a machine vision system is presented as a key module of Camellia oleifera pluck robot. In order to cut fruit image up from complicate background, SOFM neural network and gray thresh is used in image segmentation. In SOFM method, take R-B,G-R,G-B and hue H tunnel as input feature vectors, use self-organization network to clustering can get the best effect. in gray threshold method can take various of method to get the best threshold, such as PSO and GA algorithm, and MATLAB includes the toolboxes. At last use noise ratio, area ratio, divided time, Fourier boundary descriptors and other indicators to assess the accuracy of segmentation. The methods have the significance to the current and subsequent research of forestry pluck device.
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Trout, Teresa. "Scaling Down: H. G. Wells’s The Time Machine (1895), Tono-Bungay (1909), and the Uppark Dolls House." Journal of Victorian Culture 24, no. 1 (September 26, 2018): 88–105. http://dx.doi.org/10.1093/jvcult/vcy056.
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Karpukhina, Tamara Petrovna. "The category of seemingness and its functioning in Herbert G. Wells’s novel “The Time Machine”." Philology. Issues of Theory and Practice 17, no. 7 (July 24, 2024): 2295–307. http://dx.doi.org/10.30853/phil20240328.
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The aim of the research is to reveal the specific features of the epistemic category of seemingness functioning in an English novel of a science fiction genre. The article undertakes a versatile approach to the phenomenon of seemingness viewed from different angles, namely, a logic-philosophical, psychological and linguistic ones. Linguistic criteria identifying the category of seemingness have been clarified. Scientific originality of the research lies in describing the peculiarities of the category of seemingness as represented in H. G. Wells’s novel. The research findings reveal a diversity of lexico-syntactic denominations of seemingness constituting the corresponding semantic field thus forming its centre or periphery. The modus of seemingness embraces various types of perception, those of a visual, aural, tactile, olfactory and kinaesthetic ones. The results of the research indicate that seemingness in the novel tends to interact with the category of evaluation. As the study shows, the modus of seemingness in the novel is inseparable from the first-person narration describing the incredible events in the world of fantastic future as seemingly indefinite, unverified and illusory.
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Vikara, Derek, and Vikas Khanna. "Application of a Deep Learning Network for Joint Prediction of Associated Fluid Production in Unconventional Hydrocarbon Development." Processes 10, no. 4 (April 11, 2022): 740. http://dx.doi.org/10.3390/pr10040740.
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Machine learning (ML) approaches have risen in popularity for use in many oil and gas (O&G) applications. Time series-based predictive forecasting of hydrocarbon production using deep learning ML strategies that can generalize temporal or sequence-based information within data is fast gaining traction. The recent emphasis on hydrocarbon production provides opportunities to explore the use of deep learning ML to other facets of O&G development where dynamic, temporal dependencies exist and that also hold implications to production forecasting. This study proposes a combination of supervised and unsupervised ML approaches as part of a framework for the joint prediction of produced water and natural gas volumes associated with oil production from unconventional reservoirs in a time series fashion. The study focuses on the pay zones within the Spraberry and Wolfcamp Formations of the Midland Basin in the U.S. The joint prediction model is based on a deep neural network architecture leveraging long short-term memory (LSTM) layers. Our model has the capability to both reproduce and forecast produced water and natural gas volumes for wells at monthly resolution and has demonstrated 91 percent joint prediction accuracy to held out testing data with little disparity noted in prediction performance between the training and test datasets. Additionally, model predictions replicate water and gas production profiles to wells in the test dataset, even for circumstances that include irregularities in production trends. We apply the model in tandem with an Arps decline model to generate cumulative first and five-year estimates for oil, gas, and water production outlooks at the well and basin-levels. Production outlook totals are influenced by well completion, decline curve, and spatial and reservoir attributes. These types of model-derived outlooks can aid operators in formulating management or remedial solutions for the volumes of fluids expected from unconventional O&G development.
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Ivascu, Andrea, and Manfred Kubbies. "Rapid Generation of Single-Tumor Spheroids for High-Throughput Cell Function and Toxicity Analysis." Journal of Biomolecular Screening 11, no. 8 (December 2006): 922–32. http://dx.doi.org/10.1177/1087057106292763.
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Spheroids are widely used in biology because they provide an in vitro 3-dimensional (3D) model to study proliferation, cell death, differentiation, and metabolism of cells in tumors and the response of tumors to radiotherapy and chemotherapy. The methods of generating spheroids are limited by size heterogeneity, long cultivation time, or mechanical accessibility for higher throughput fashion. The authors present a rapid method to generate single spheroids in suspension culture in individual wells. A defined number of cells ranging from 1000 to 20,000 were seeded into wells of poly-HEMA-coated, 96-well, round-or conical-bottom plates in standard medium and centrifuged for 10 min at 1000 g. This procedure generates single spheroids in each well within a 24-h culture time with homogeneous sizes, morphologies, and stratification of proliferating cells in the rim and dying cells in the core region. Because a large number of tumor cell lines form only loose aggregates when cultured in 3D, the authors also performed a screen for medium additives to achieve a switch from aggregate to spheroid morphology. Small quantities of the basement membrane extract Matrigel, added to the culture medium prior to centrifugation, most effectively induced compact spheroid formation. The compact spheroid morphology is evident as early as 24 h after centrifugation in a true suspension culture. Twenty tumor cell lines of different lineages have been used to successfully generate compact, single spheroids with homogenous size in 96-well plates and are easily accessible for subsequent functional analysis.
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Baratieri, Carolina, Cláudia Trindade Mattos, Matheus Alves Jr, Thiago Chon Leon Lau, Lincoln Issamu Nojima, Margareth Maria Gomes de Souza, Monica Tirre Araujo, and Matilde da Cunha Gonçalves Nojima. "In situ evaluation of orthodontic elastomeric chains." Brazilian Dental Journal 23, no. 4 (2012): 394–98. http://dx.doi.org/10.1590/s0103-64402012000400014.
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The hypothesis tested in this study was that intraoral exposure of elastomeric chains alters their tensile strength. For such purpose, it was evaluated the in situ behavior of different elastomeric chains stretched for 3 weeks. Three kinds of elastomeric chains, Plastic chain (PC), Memory chain (MC) and Super slick chain (SSC), were randomly placed in 3 quadrants of 13 patient in a fixed distance of 16 mm and mean initial force of 180 g. Tensile testing was performed in an universal testing machine at different intervals: initial, 1 h, 24 h, 1 week, 2 weeks and 3 weeks. A two-way ANOVA test was performed to identify the influence of both material and time on the force decrease. A subsequent one-way ANOVAtest with the Tukey's post hoc test was used to identify statistically significant intragroup and intergroup remaining force (g and %) differences at 5% significance level. The effect of both the material and the time factors were significant. All groups showed significant force decrease after the 1-h period (23% for PC and 14% for MC and SSC). At the end of the 3-week period, the remaining force was 57% (96 g), 67% (129 g) and 71% (125 g) for PC, MC and SSC, respectively. In conclusion, intraoral exposure of elastomeric chains altered their tensile strength. In general, the greater force decrease occurred within the first hour. The remaining force of the enhanced chains measured at each time interval was greater than the conventional one (PC). After 3 weeks, only the enhanced chains maintained the force applied over 100 g.