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1

Ji Chan, Yum. "Improvements to Linear and Nonlinear Models of Machine Key Components." Impact 2021, no. 1 (2021): 15–17. http://dx.doi.org/10.21820/23987073.2021.1.15.

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Precision machinery has come a long way over the years. Factories that once relied on manpower now use machines, and this development has brought with it innumerable benefits including improvements to accuracy, repeatability, productivity and efficiency. Naturally, though, machines are imperfect in that precision of a batch of machines vary slightly. On top of that, machines experience wear and tear or even break-downs. These unpredictable events can be costly to manufacturers. This is why research to better understand factors that affect a machine's precision is important. This knowledge can
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Meyer, Ruth Ann, and James E. Riley. "Studying Decimal Fractions with Microcomputers." Mathematics Teacher 80, no. 2 (1987): 144–48. http://dx.doi.org/10.5951/mt.80.2.0144.

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The introduction of microcomputers into classrooms is heralded as a great advance in mathematics education. This observation is true, of course, only as long as students use these machines to stimulate their mathematical thinking by observing, conjecturing, testing, proving, and generalizing mathematical ideas. Turning on computers certainly does not authorize students to turn off their brains.
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Keller, Evelyn Fox. "Organisms, Machines, and Thunderstorms: A History of Self-Organization, Part One." Historical Studies in the Natural Sciences 38, no. 1 (2008): 45–75. http://dx.doi.org/10.1525/hsns.2008.38.1.45.

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Over the last quarter century, the term "self-organization" has acquired a currency that, notwithstanding its long history, has been taken to signal a paradigm shift, and perhaps even a scientific revolution, introducing a new Weltanschauungin fields as diverse as mathematics, physics, biology, ecology, cybernetics, economics, sociology, and engineering. But there is a prehistory to this revolution, as to the term itself, with at least two earlier episodes in which the same term was used to signal two other, quite different revolutions. In this paper, I review the pre-history of "self-organiza
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Liu, Rui Yi, Huang Jun, and Bo Cheng. "Process Improvement of Camshaft of Heavy Duty Diesel Engine." Applied Mechanics and Materials 275-277 (January 2013): 2252–55. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.2252.

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Camshaft is a key part of heavy duty diesel engine. The conventional process applies the profiling modeling grinders and universal milling machines to manufacture the cam. The weaknesses of this process include unstable cam profilogram, low accuracy, low flexibility, long product cycle and undesirable adaptability. M40 turn-milling centre and CN320 cam grinder are applied to upgrade the process. Compared with the conventional process, the improved process has evident advantages such as higher machining accuracy, surface quality and efficiency. And the compatibility with diverse product categor
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Sharkey, N., and A. Sharkey. "Electro-mechanical robots before the computer." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 1 (2008): 235–41. http://dx.doi.org/10.1243/09544062jmes1262.

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There were several electro-mechanical robots in the period leading up to the birth of the Journal of Mechanical Engineering Science in 1959. The authors examine the rise and fall of the electro-mechanical robot in the early twentieth century. After exploring the roots and uses of the term ‘robot’, a historical survey of the early landmark robots is provided. Some were controlled remotely by wireless radio signals or by selectively operating relays with whistle tones or by converting sound into light. Long before the invention of the modern digital computer, there were robots working autonomous
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Greene, Kenneth F. "Campaign Effects and the Elusive Swing Voter in Modern Machine Politics." Comparative Political Studies 54, no. 1 (2020): 77–109. http://dx.doi.org/10.1177/0010414020919919.

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Are vote-choice buying attempts successful? Much research across the social sciences argues that political machines expertly turn citizens into clients, undermining core aspects of democracy. Using insights from behavioral theories of vote choice, I argue that standard partisan campaigns can diminish vote-choice buying’s efficiency. Machines face a targeting problem: Local brokers identify good clients using long-term markers but then campaigns shift many citizens’ vote-relevant attitudes in ways that brokers cannot detect, leading to targeting errors. Vote-choice buying remains effective on r
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Mom, Gijs, Georgine Clarsen, and Cotten Seiler. "Editorial." Transfers 2, no. 1 (2012): 1–4. http://dx.doi.org/10.3167/trans.2012.020101.

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At Eindhoven University of Technology, which has a modest reputation for collecting contemporary art, an exhibition of large machines and poetic video clips by father and son Van Bakel invites passersby to reflect on mobility. Gerrit van Bakel, who died more than a quarter century ago, became known for his Tarim Machine, a vehicle that moves at such a low speed that it almost does not matter whether it moves or not. The propulsion principle—for those who love technology—rests on the dilatation energy of oil in tubes propelling (if propelling is the right word …) the contraption a couple of cen
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Oleynik, Michel, Amila Kugic, Zdenko Kasáč, and Markus Kreuzthaler. "Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification." Journal of the American Medical Informatics Association 26, no. 11 (2019): 1247–54. http://dx.doi.org/10.1093/jamia/ocz149.

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Abstract Objective Automated clinical phenotyping is challenging because word-based features quickly turn it into a high-dimensional problem, in which the small, privacy-restricted, training datasets might lead to overfitting. Pretrained embeddings might solve this issue by reusing input representation schemes trained on a larger dataset. We sought to evaluate shallow and deep learning text classifiers and the impact of pretrained embeddings in a small clinical dataset. Materials and Methods We participated in the 2018 National NLP Clinical Challenges (n2c2) Shared Task on cohort selection and
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Arbulla, Beatrice, and Massimiano Bucchi. "“Queue up, you stupid!”: communicating about technology problems. An exploratory study of warning messages posted on machines in public places." Journal of Science Communication 14, no. 03 (2015): Y02. http://dx.doi.org/10.22323/2.14030402.

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Communication about technology has long been neglected within the field of science and technology communication. This visual exploratory study focuses on how users can communicate with and about technology in public places through warning signs posted on technological devices. Three broad categories of messages have been identified: bad design, malfunctioning and disciplining users. By analyzing examples within each category, we suggest that studying these communicative situations can be a key to understanding how users are engaged in continuous, elaborate and sometimes even conflicting framin
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Tinggi, Zulnani, and Sakum. "PENGEMBANGAN EARLY WARNING SYSTEM UNTUK DELISTING SAHAM SYARIAH MENGGUNAKAN SUPPORT VECTOR MACHINE (SVMs)." Jurnal Ekonomi Syariah Pelita Bangsa 5, no. 02 (2020): 198–208. http://dx.doi.org/10.37366/jespb.v5i02.117.

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This study aim to produce Early Warning System in predicting the occurrence of delisting in Islamic stocks by using Support Vector Machines (SVM). The sample used in this research are companies listed on the Indonesian Syariah Stock Index (ISSI) for the period of 2012 - 2018. With the variables used in this research: Turn Over Asset, Long Term Debt, Interest Coverage, Debt to Equity, Quick Ratio, ROA, ROE Leverage, Current Ratio, ROIC. The population of this study is 335 Islamic stocks registered with ISSI. There are 102 companies which consists of listed and delisted companies from sharia sha
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Rudovsky, P. N. "FORMATION OF PACKAGES WITH PERIODIC CHANGE OF FORCES OF PRESSURE OF THE DRUM TO WINDING SHAFT." Technologies & Quality, no. 4 (2019): 20–24. http://dx.doi.org/10.34216/2587-6147-2019-4-46-20-24.

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For the formation of high-quality packaging of cross winding on machines with a constant speed, release into the composition of the winding mechanism introduce a dispersion device of the bundle winding, providing a change in the speed of the yarn guide according to the law with a long cycle of work. When laying the thread with a slotted drum, as on a spinning self-rolling machine PSK-225 SH there is no way to influence the movement of the yarn guide. In this case, effective dispersion can be achieved by periodically changing the clamping force of the bobbin to the winding shaft. When the effor
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Norton, Gale, and Michael Suk. "America's Public Lands and Waters: The Gateway to Better Health?" American Journal of Law & Medicine 30, no. 2-3 (2004): 237–43. http://dx.doi.org/10.1177/009885880403000206.

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Obesity is the number one health problem facing America today. The connection to physical inactivity and a sedentary lifestyle has long been recognized, but only recently has it become a focal point for physicians worldwide. Surprisingly, the answer may be as close as America's backyardthe public lands and waters under the management of the U.S. Department of the Interior (Interior), as well as other federal, state, and local agencies. While traditional efforts to increase physical activity among Americans have focused on exercise-related activities such as calisthenics, treadmills, or stair m
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Binet, Sébastien. "Exploring polyglot software frameworks in ALICE FairMQ and fer." EPJ Web of Conferences 214 (2019): 05032. http://dx.doi.org/10.1051/epjconf/201921405032.

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In order to meet the challenges of the Run 3 data rates and volumes, the ALICE collaboration is merging the online and offline infrastructures into a common framework: ALICE-O2. O2 is based on FairRoot and FairMQ, a message-based, multi-threaded and multi-process control frame-work. In FairMQ, processes (possibly on different machines) exchange data via message queues either through 0MQ or nanomsg. In turn, this enables developers to write their reconstruction or analysis process in whatever language they choose or deem appropriate for the task at hand, as long as that programming language can
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Saravanan, M., and S. Sridhar. "An Overview of Hybrid Flow Shop Scheduling." International Journal of Green Computing 3, no. 2 (2012): 78–91. http://dx.doi.org/10.4018/jgc.2012070106.

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This paper is survey of hybrid flow shop scheduling problems. An HFS scheduling problem is a classical flow-shop in which parallel machines are available to perform the same operation. Most real world scheduling problems are NP-hard in nature. The hybrid flow shop scheduling problems have received considerable research attention. The several optimization and heuristic solution procedures are available to solve a variety of hybrid flow shop scheduling problems. It discusses and reviews sustainability of several variants of the hybrid flow shop scheduling problem for economical analysis, each in
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Johnson, Brian David. "Efficiency is Easy to Hack." Mechanical Engineering 139, no. 08 (2017): 38–43. http://dx.doi.org/10.1115/1.2017-aug-2.

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This article focuses on the possible cyberattacks as the current generation go Internet-connected way. Connecting an appliance to the Internet provides not only the opportunity for added functions and efficiency, but also the potential for hackers to exploit security lapses. As the attack plain begins to expand and digital attacks spread and become individual, physical, or even kinetic in nature, the calculus will change. Cybersecurity experts have demonstrated that Internet-connected vehicles are vulnerable to attack by hackers. As more physical systems undergo a wave of artificial intelligen
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Maldonado, Miguel Paredes. "Knowledge by other means: machinic duration and anexactitude in data-driven urban drawing." Architectural Research Quarterly 24, no. 2 (2020): 141–54. http://dx.doi.org/10.1017/s1359135520000160.

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Half a decade past the consolidation of the first ‘digital turn’ in architecture, contemporary designers seem to have decidedly embraced the unprecedented power of machinic thinking, subsequently adopting its embedded logical processes. We may, however, pose a critical question in the context of this ‘second computational turn’ : Are there any non-computable elements of thought in the development of spatialised digital intelligence? As a partial response, this paper unpacks a series of productive relationships intersecting urban drawing and the passing of time in the context of a data-driven d
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Thilmany, Jean. "Go-Between." Mechanical Engineering 127, no. 05 (2005): 42–45. http://dx.doi.org/10.1115/1.2005-may-5.

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This article discusses shop floor software that taps into CAD systems to get vital manufacturing information. Manufacturing and mechanical engineers find themselves linked by more than just the words in their job titles. Although they might inhabit different parts of the plant or work at separate companies, the engineers have always worked together to turn a design into a part. Now, software that makes it easier to bridge the gap between design and manufacturing has stepped up that cooperation. Computer-aided design systems have long been linked with the computer-aided manufacturing software t
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18

Kemmer, Laura, and AbdouMaliq Simone. "Standing by the promise: Acts of anticipation in Rio and Jakarta." Environment and Planning D: Society and Space 39, no. 4 (2021): 573–89. http://dx.doi.org/10.1177/0263775820982997.

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Cities are promising machines always holding out prospects for better lives, always attempting to guarantee that things will not remain the same and that whatever changes do ensue are for the better. We propose a notion of “promise” not as simply another descriptor in a long line of adjectives about the city. Rather, we argue that the urban institutional landscape constantly generates new promises as way of anticipation, which in turn allows residents to write themselves into select urban operations. This article engages two central districts in Rio de Janeiro and Jakarta to explore how reside
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Toganova, N. V. "Sanctions: Business as Usual? (Example of Russian-German Relations)." MIR (Modernization. Innovation. Research) 9, no. 4 (2019): 596–606. http://dx.doi.org/10.18184/2079-4665.2018.9.4.596-606.

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Purpose:the purpose of the article was to analyze the influence of sanctions on economic relations of Russia and Germany (on firm level and on foreign direct investments), to find out how far the changes influenced the innovation potential of Russia in the long term and also the role of political relations in the economic context.Methods:the methodological base of the research is based on general scientific methods: scientific abstraction, analysis and synthesis, generalization, system-structural analysis.Results:the author analyzes the approaches towards quantifying the sanctions influence on
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COULARDEAU, Prof Ph D. Jacques. "CAN JULIEN D’HUY’S COSMOGONIES SAVE US FROM YUVAL NOAH HARARI?" Pro Edu. International Journal of Educational Sciences 3, no. 4 (2021): 5–34. http://dx.doi.org/10.26520/peijes.2021.4.3.5-34.

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Over the last two decades, we seem to have been confronted with a tremendous number of books, films, TV shows, or series that deal with the past and the present, not to mention the future, as if it were all out of time, timeless, even when it is history. We have to consider our present world as the continuation and the result of the long evolution our species has gone through since we emerged from our ancestors 300,000 years ago. Julien d’Huy is a mythologist who tries to capture the phylogeny of myths, and popular or folkloric stories that have deep roots in our past and have been produced, c
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Freitas, Nahuel, Giovanna Morigi, and Vedran Dunjko. "Neural network operations and Susuki–Trotter evolution of neural network states." International Journal of Quantum Information 16, no. 08 (2018): 1840008. http://dx.doi.org/10.1142/s0219749918400087.

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It was recently proposed to leverage the representational power of artificial neural networks, in particular Restricted Boltzmann Machines, in order to model complex quantum states of many-body systems [G. Carleo and M. Troyer, Science 355(6325) (2017) 602.]. States represented in this way, called Neural Network States (NNSs), were shown to display interesting properties like the ability to efficiently capture long-range quantum correlations. However, identifying an optimal neural network representation of a given state might be challenging, and so far this problem has been addressed with stöc
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Orem, J., H. Ddungu, F. Karsan, et al. "Challenges of Building and Sustaining Radiation Therapy Capacity in Low-Resource Settings: A Case of the Breakdown of Cobalt 60 Teletherapy in Uganda and Lessons Learned." Journal of Global Oncology 4, Supplement 2 (2018): 168s. http://dx.doi.org/10.1200/jgo.18.23500.

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Background and context: The use of radiotherapy in developing countries is slowly gaining momentum but the gains are accompanied by some pitfalls. The breakdown of a teletherapy (cobalt 60) machine in Uganda is an example of the challenges to be considered while expanding access to treatment. It was a major test for the country and the Uganda Cancer Institute the agency of government responsible for provision of cancer services. It attracted a national and international outcry. This unprecedented response was based on the importance a seemingly old equipment in Kampala was playing in the entir
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Mokyr, Joel, Chris Vickers, and Nicolas L. Ziebarth. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?" Journal of Economic Perspectives 29, no. 3 (2015): 31–50. http://dx.doi.org/10.1257/jep.29.3.31.

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Technology is widely considered the main source of economic progress, but it has also generated cultural anxiety throughout history. The developed world is now suffering from another bout of such angst. Anxieties over technology can take on several forms, and we focus on three of the most prominent concerns. First, there is the concern that technological progress will cause widespread substitution of machines for labor, which in turn could lead to technological unemployment and a further increase in inequality in the short run, even if the long-run effects are beneficial. Second, there has bee
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Sanginova, Olga, and Pavlo Kozlov. "Optimization of the cutting planning process in cardboard and paper production." Proceedings of the NTUU “Igor Sikorsky KPI”. Series: Chemical engineering, ecology and resource saving, no. 2 (June 28, 2021): 50–58. http://dx.doi.org/10.20535/2617-9741.2.2021.235864.

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Improving the production efficiency is one of the main management tasks for the pulp and paper industry.
 This can be achieved through the use of automated planning systems, designed to take into account the features and limitations of particular production. Such systems allow, on the basis of orders received from consumers, a voluminous production schedule to be made to take into account the needs for raw materials, the productivity of paper or cardboard machines, and the optimal cutting of the canvas on longitudinal cutting machines.
 Linear programming method for solving optimizat
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Oliveira, Ana. "Subject (in) Trouble: Humans, Robots, and Legal Imagination." Laws 9, no. 2 (2020): 10. http://dx.doi.org/10.3390/laws9020010.

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The legal conception and interpretation of the subject of law have long been challenged by different theoretical backgrounds: from the feminist critiques of the patriarchal nature of law and its subjects to the Marxist critiques of its capitalist ideological nature and the anti-racist critiques of its colonial nature. These perspectives are, in turn, challenged by anarchist, queer, and crip conceptions that, while compelling a critical return to the subject, the structure and the law also serve as an inspiration for arguments that deplete the structures and render them hostages of the sovereig
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Kalpouzos, Ioannis. "Double elevation: Autonomous weapons and the search for an irreducible law of war." Leiden Journal of International Law 33, no. 2 (2020): 289–312. http://dx.doi.org/10.1017/s0922156520000114.

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AbstractWhat should be the role of law in response to the spread of artificial intelligence in war? Fuelled by both public and private investment, military technology is accelerating towards increasingly autonomous weapons, as well as the merging of humans and machines. Contrary to much of the contemporary debate, this is not a paradigm change; it is the intensification of a central feature in the relationship between technology and war: double elevation, above one’s enemy and above oneself. Elevation above one’s enemy aspires to spatial, moral, and civilizational distance. Elevation above one
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Ansell, Christopher K., and Arthur L. Burris. "Bosses of the City Unite! Labor Politics and Political Machine Consolidation, 1870–1910." Studies in American Political Development 11, no. 1 (1997): 1–43. http://dx.doi.org/10.1017/s0898588x00001590.

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In the late nineteenth century – an age when the phrase “all politics is local” contained even greater truth than it does today – the distinctive institution of urban public life was the political machine. In assessing the machine's importance, some scholars have emphasized the machine's role in integrating newly arrived immigrants into the American political system, its provision of basic material goods to the impoverished, its promotion of upward mobility of immigrants, and its coordination of a socially and politically fragmented city. Other scholars have focused on the long-range effect of
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Lauritzen, Hans P. M. M. "In vivo imaging of GLUT4 translocationThis paper is one of a selection of papers published in this Special Issue, entitled 14th International Biochemistry of Exercise Conference – Muscles as Molecular and Metabolic Machines, and has undergone the Journal’s usual peer review process." Applied Physiology, Nutrition, and Metabolism 34, no. 3 (2009): 420–23. http://dx.doi.org/10.1139/h09-043.

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In skeletal muscle, both insulin and muscle contractions mediate translocation of glucose transporter GLUT4 to the plasma membrane proper, the sarcolemma, and the specialized membrane channel network, the transverse (t)-tubules. Despite the fact that skeletal muscle glucose uptake plays a major role in normal conditions, in insulin resistance, and type II diabetes, the details of GLUT4 translocation and the intracellular signalling involved have not been fully described. A main reason is that the majority of experiments have been carried out in muscle cultures in vitro. In vitro cultured muscl
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Cannon, David J., and Geb Thomas. "Virtual Tools for Supervisory and Collaborative Control of Robots." Presence: Teleoperators and Virtual Environments 6, no. 1 (1997): 1–28. http://dx.doi.org/10.1162/pres.1997.6.1.1.

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Often, robotics has failed to meet industry expectations because programming robots is tedious, requires specialists, and often does not provide enough real flexibility to be worth the investment. In order to advance beyond a possible robotics plateau, an integrating technology will need to emerge that can take advantage of complex new robotic capabilities while making systems easier for nonrobotics people to use. This research introduces virtual tools with robotic attributes, and collaborative control concepts, that enable experts in areas other than robotics to simply point and direct sophis
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Hu, Yan Su, Ang Gao, and De Jun Mu. "The RDC Clamped Circuit Research on the High-Speed Flat Sewing Machine." Advanced Materials Research 945-949 (June 2014): 261–65. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.261.

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The high-speed Flat Sewing Machine is the most widely used macaronis full-automation Sewing Machine. The sewing tasks are intermittent which leads to a frequent actuation and long operating time of the magnetic valve. It puts higher requirements on the magnetic valve. Based on this problem, this paper adopt the RDC Clamped Circuit to reduce the turn-off loss and suppress the drain voltage of MOSFET rising. First analyze the turn-off loss of RDC circuit and the PWM characteristics, and then deduce the relationship between the parameters of RDC circuit and the controller by theoretical calculati
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Korotenko, O. Yu, and E. S. Filimonov. "Myocardial deformation and parameters of diastolic function of the left ventricle in workers of coal mining enterprises in the South of Kuzbass with arterial hypertension." Russian Journal of Occupational Health and Industrial Ecology, no. 3 (March 28, 2020): 151–56. http://dx.doi.org/10.31089/1026-9428-2020-60-3-151-156.

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Introduction. Long-term persistent hypertension can lead to heart failure. The study of its early markers, which include diastolic dysfunction of the left ventricle and reduction of longitudinal myocardial deformation, is of importance for workers engaged in harmful and dangerous working conditions.The aim of the study is to evaluate the parameters of myocardial deformation and diastolic function of the left ventricle, as well as their interrelation with arterial hypertension in workers of the coal mining industry in the South of Kuzbass.Materials and methods. 384 people were examined (men), i
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Aubert, Brice, Jérémi Régnier, Stéphane Caux, and Dominique Alejo. "Stator Winding Fault Diagnosis in Permanent Magnet Synchronous Generators Based on Short-Circuited Turns Identification Using Extended Kalman Filter." ACTA IMEKO 3, no. 4 (2014): 4. http://dx.doi.org/10.21014/acta_imeko.v3i4.146.

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<p class="Abstract">This paper deals with an Extended Kalman Filter based fault detection for inter-turn short-circuit in Permanent Magnet Synchronous Generators. Inter-turn short-circuits are among the most critical faults in the PMSG. Indeed, due to permanent magnets, the short-circuit current is maintained as long as the machine is rotating. Thus, a specific faulty model in d-q frame is developed to estimate the number of short-circuited turns which are used to build a fault indicator. Simulation results demonstrate the sensitivity and the robustness of the proposed fault indicator ag
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Zhang, Xiaochen, Xiaoyu Yao, Yi Zhu, and Fei Hu. "An ARCore Based User Centric Assistive Navigation System for Visually Impaired People." Applied Sciences 9, no. 5 (2019): 989. http://dx.doi.org/10.3390/app9050989.

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In this work, we propose an assistive navigation system for visually impaired people (ANSVIP) that takes advantage of ARCore to acquire robust computer vision-based localization. To complete the system, we propose adaptive artificial potential field (AAPF) path planning that considers both efficiency and safety. We also propose a dual-channel human–machine interaction mechanism, which delivers accurate and continuous directional micro-instruction via a haptic interface and macro-long-term planning and situational awareness via audio. Our system user-centrically incorporates haptic interfaces t
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Fadli, Mohamad Rizal, and Wiwik Sulistiyowati. "Optimization of Pipe Production Scheduling in Line 18 Using First Come First Serve (Fcfs), Earlier Due Date (Edd), Short Process Time (Spt) Methods (Case Study: Pt Wtur)." PROZIMA (Productivity, Optimization and Manufacturing System Engineering) 3, no. 2 (2021): 44–54. http://dx.doi.org/10.21070/prozima.v3i2.1268.

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For machine line 18, is intended to produce PVC pipe with a 5 ", 6" and 8 "with each contained item type AW and type D with a turn of the cycle a certain schedule. From the turn of this cycle, there are a couple of the impact is too long good finish duration of vacant stock in the Warehouse Production (GHP) pipe. The impact of the long duration of the good stock of empty finish unachieved impact on consumer demand (in this case the agent). By not reaching the consumer demand impact on service level SCM & Delivery. The purpose of this study to determine the optimal level of machine line 18
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Shaughnessy, Andrew R., Xin Gu, Tao Wen, and Susan L. Brantley. "Machine learning deciphers CO<sub>2</sub> sequestration and subsurface flowpaths from stream chemistry." Hydrology and Earth System Sciences 25, no. 6 (2021): 3397–409. http://dx.doi.org/10.5194/hess-25-3397-2021.

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Abstract. Endmember mixing analysis (EMMA) is often used by hydrogeochemists to interpret the sources of stream solutes, but variations in stream concentrations and discharges remain difficult to explain. We discovered that machine learning can be used to highlight patterns in stream chemistry that reveal information about sources of solutes and subsurface groundwater flowpaths. The investigation has implications, in turn, for the balance of CO2 in the atmosphere. For example, CO2-driven weathering of silicate minerals removes carbon from the atmosphere over ∼106-year timescales. Weathering of
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Guzman, Andrea L., and Seth C. Lewis. "Artificial intelligence and communication: A Human–Machine Communication research agenda." New Media & Society 22, no. 1 (2019): 70–86. http://dx.doi.org/10.1177/1461444819858691.

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Artificial intelligence (AI) and people’s interactions with it—through virtual agents, socialbots, and language-generation software—do not fit neatly into paradigms of communication theory that have long focused on human–human communication. To address this disconnect between communication theory and emerging technology, this article provides a starting point for articulating the differences between communicative AI and previous technologies and introduces a theoretical basis for navigating these conditions in the form of scholarship within human–machine communication (HMC). Drawing on an HMC
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Sun, Xiao, Hao Zhou, Xiang Jiang Lu, and Yong Yang. "The Study of Motor Winding Testing System for Inter-Turn with 30kV." Applied Mechanics and Materials 278-280 (January 2013): 831–34. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.831.

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This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.
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DI, SHENGMENG, RUI MENG, AIRONG QIAN, et al. "IMPACT OF OSTEOCLAST PRECURSORS SUBJECTED TO RANDOM POSITIONING MACHINE ON OSTEOBLASTS." Journal of Mechanics in Medicine and Biology 12, no. 04 (2012): 1250074. http://dx.doi.org/10.1142/s0219519412005083.

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Osteoblast-osteoclast interaction plays an important role in the bone remodeling. During long duration space flight, astronauts undergo serious bone loss mainly due to the disruption of equivalence between bone formation and bone resorption. Osteoclast precursors often operate under the control of osteoblasts. However, here we show that the osteoclast precursors could in turn influence osteoblasts. RAW264.7 cells, the murine osteoclast precursors, were treated in the simulated weightlessness produced by a Random Positioning Machine (RPM). After 72 h, conditioned mediums (CM) by the RAW264.7 ce
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Mahdavi-Damghani, Babak, Konul Mustafayeva, Cristin Buescu, and Stephen Roberts. "Portfolio optimization for cointelated pairs: SDEs vs Machine learning." Algorithmic Finance 8, no. 3-4 (2021): 101–25. http://dx.doi.org/10.3233/af-200311.

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With the recent rise of Machine Learning (ML) as a candidate to partially replace classic Financial Mathematics (FM) methodologies, we investigate the performances of both in solving the problem of dynamic portfolio optimization in continuous-time, finite-horizon setting for a portfolio of two assets that are intertwined. In the Financial Mathematics approach we model the asset prices not via the common approaches used in pairs trading such as a high correlation or cointegration, but with the cointelation model in Mahdavi-Damghani (2013) that aims to reconcile both short-term risk and long-ter
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Sey, J. "Psychoanalysis, science fiction and cyborgianism." Literator 17, no. 2 (1996): 105–16. http://dx.doi.org/10.4102/lit.v17i2.607.

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Central to this paper is the understanding that much of crucial importance to psychoanalytic thought rests on a conception of the subject as inseparable from a history of the body a history in turn inseparable from the central tenets of Oedipus, in its turn a concept which originates in and is illustrated by literature. The paper will suggest that when recent cultural theorists, drawing on the implications of cybernetics and infoculture theory, contest the psychoanalytic notion of the subject, it is not surprising that they do so in terms of the possibility of an alternative body - a hybrid fo
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Utami, Dewi, Ubaidillah, Saiful Mazlan, et al. "Material Characterization of a Magnetorheological Fluid Subjected to Long-Term Operation in Damper." Materials 11, no. 11 (2018): 2195. http://dx.doi.org/10.3390/ma11112195.

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This paper investigates the field-dependent rheological properties of magnetorheological (MR) fluid used to fill in MR dampers after long-term cyclic operation. For testing purposes, a meandering MR valve was customized to create a double-ended MR damper in which MR fluid flowed inside the valve due to the magnetic flux density. The test was conducted for 170,000 cycles using a fatigue dynamic testing machine which has 20 mm of stroke length and 0.4 Hz of frequency. Firstly, the damping force was investigated as the number of operating cycles increased. Secondly, the change in viscosity of the
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Stuhlenmiller, Florian, Jochen Schuy, Philipp Beckerle, and Stephan Rinderknecht. "A user-specific human-machine interaction strategy for a prosthetic shank adapter." Current Directions in Biomedical Engineering 3, no. 2 (2017): 493–96. http://dx.doi.org/10.1515/cdbme-2017-0103.

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AbstractFor people with lower limb amputation, a user-specific human-machine interaction with their prostheses is required to ensure safe and comfortable assistance. Especially during dynamic turning manoeuvres, users experience high loads at the stump, which decreases comfort and may lead to long-term tissue damage. Preliminary experiments with users wearing a configurable, passive torsional adaptor indicate increased comfort and safety achieved by adaptation of torsional stiffness and foot alignment. Moreover, the results show that the individual preference regarding both parameters depend o
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Ghinassi, Barbara, Angela Di Baldassarre, Gianmaria D’Addazio, et al. "Gingival Response to Dental Implant: Comparison Study on the Effects of New Nanopored Laser-Treated vs. Traditional Healing Abutments." International Journal of Molecular Sciences 21, no. 17 (2020): 6056. http://dx.doi.org/10.3390/ijms21176056.

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The health of peri-implant soft tissues is important for the long-term success rate of dental implants and the surface topography is pivotal in influencing it. Thus, the aim of this study was to evaluate, in human patients, the inflammatory mucosal microenvironment in the tissue surrounding a new, nanoscale, laser-treated healing abutment characterized by engineered nanopores versus a standard machined-surface. Analyses of anti- and pro-inflammatory markers, cytokeratins, desmosomal proteins and scanning electron microscopy were performed in 30 soft-tissue biopsies retrieved during second-stag
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Feng, Jin Chun, Wen Bing Chen, Xu Liu, Song He Huang, and Qi Hong. "Research on Machining Methods of Turning Trapezoidal Thread for Slender Axle on Lathe." Applied Mechanics and Materials 84-85 (August 2011): 388–91. http://dx.doi.org/10.4028/www.scientific.net/amm.84-85.388.

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There were a lot of common points in turning the slender trapezoidal thread and the triangular thread on the common lathe, but there were also respective special features, because the trapezoidal thread used in machinery's transmission spot, the accuracy requirement was high, and during the machining, it was more complicated to turn the slender trapezoidal thread on the common lathe than the triangular thread. As long as control its processing rule, and adopts the correct processing method, we definitely may machine the high accuracy thread, this article elaborates ways and means of machining
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Li, Yan, Zhi Xin Guo, and Wen Song Wei. "Path Recognition Method for Vision Navigation of Tobacco Harvester." Advanced Materials Research 605-607 (December 2012): 1502–5. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1502.

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Tobacco harvesters are used in large-scale reclamation area. The demand for automatic navigation is urgent because of long time and intensive labor. According to the specificity of tobacco fields’ environment, the conventional path recognition method had been improved, which was taking 2G-R-B processing, threshold processing in turn and adopting dilation algorithm in image morphology instead of median blur algorithm. At last, modified Hough transform was used to extract navigation line. Processing results show that the algorithms which can be underlain in vision navigation research of tobacco
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Patalay, Sandeep, and Madhusudhan Rao Bandlamudi. "Decision Support System for Stock Portfolio Selection Using Artificial Intelligence and Machine Learning." Ingénierie des systèmes d information 26, no. 1 (2021): 87–93. http://dx.doi.org/10.18280/isi.260109.

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Investing in stock market requires in-depth knowledge of finance and stock market dynamics. Stock Portfolio Selection and management involve complex financial analysis and decision making policies. An Individual investor seeking to invest in stock portfolio is need of a support system which can guide him to create a portfolio of stocks based on sound financial analysis. In this paper the authors designed a Financial Decision Support System (DSS) for creating and managing a portfolio of stock which is based on Artificial Intelligence (AI) and Machine learning (ML) and combining the traditional
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Chandrashekhar, Dr A. M. "Image Captioning using Deep Learning for the Visually Impaired." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 517–22. http://dx.doi.org/10.22214/ijraset.2021.36267.

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Describing the content of an image has been a fundamental problem of Machine learning that connects computer vision and natural language processing. In recent years, the task of object recognition has advanced at an exceptional rate which in turn has made image captioning that much better and easier. In this paper, we have discussed the usage of image captioning using deep learning for the visually impaired. We have used Convolutional Neural Networks along with Long Short-Term Memory to train and generate captions for images along with a text-to-speech engine which makes the experience of visu
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Prakosa, Tri, Yatna Yuwana Martawirya, Indra Nurhadi, and Ignatius Pulung Nurprasetio. "Development of Chatter Threshold Determination Methodology in Milling Process by Using Inclined Workpiece." Applied Mechanics and Materials 842 (June 2016): 74–82. http://dx.doi.org/10.4028/www.scientific.net/amm.842.74.

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Machined product quality depends on its dimension and surface quality. The dimension quality depends on machine tool accuracy while the surface quality depends on machining system stiffness. A low machining system stiffness will shift spindle shaft-tool resonance frequencies to low frequencies. When one of these frequencies coincides with spindle rotational speed or its harmonics, chatter will be generated which in turn worsen the workpiece surface roughness. In addition to increasing machining system stiffness, chatter can be eliminated by decreasing the axial depth of cut as well. Maximum ax
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Shah, Kamran, Hassan Khurshid, Izhar Ul Haq, Shaukat Ali Shah, and Zeeshan Ali. "Forecasting Machine Failure Using DMG and Weibull Analysis in an Automotive Industry: A Case Study." April 2021 40, no. 2 (2021): 435–42. http://dx.doi.org/10.22581/muet1982.2102.17.

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In manufacturing or production setup, maintenance cost is one of the major portions of overall operating expenditure. It can vary between 15 to 60 percentage of overall cost for various industries including food related industries, iron, steel and other heavy industries. Such a high cost directly impacts manufacturing setup, profitability and sustainability in long run. In most of the industries, ineffective maintenance management can result in loss of capital and inefficient human resource deployment. This in turn affects the plants’ ability to manufacture quality products that are competitiv
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Guo, Zhenhai, Yao Dong, Jianzhou Wang, and Haiyan Lu. "The Forecasting Procedure for Long-Term Wind Speed in the Zhangye Area." Mathematical Problems in Engineering 2010 (2010): 1–17. http://dx.doi.org/10.1155/2010/684742.

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Energy crisis has made it urgent to find alternative energy sources for sustainable energy supply; wind energy is one of the attractive alternatives. Within a wind energy system, the wind speed is one key parameter; accurately forecasting of wind speed can minimize the scheduling errors and in turn increase the reliability of the electric power grid and reduce the power market ancillary service costs. This paper proposes a new hybrid model for long-term wind speed forecasting based on the first definite season index method and the Autoregressive Moving Average (ARMA) models or the Generalized
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