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Научно-технический перевод. Учебно-практическое пособие

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wastewater, Snyder et al. (2003) on the diffusion of membrane-cell technology in the chlorine manufacturing industry, and Popp (2009) on
NOX pollution control technologies at power plants. The change in relative prices due to climate change regulation spurs so­called ‘induced innovation’ (Acemoglu, 2002; Acemoglu et al., 2012; Hicks, 1932). Because research and development (R&D) is a profit- motivated investment activity, inventors respond to the expected increased diffusion of environmental technologies induced by regulations by developing low carbon technologies. This finding is supported by a large body of evidence (for recent surveys of relevant literature see Popp et al., 2010; Popp, 2010; and Ambec et al., 2013). To illustrate this point, Figure 1 shows number of low-carbon inventions for which patent protection has been sought by inventors located in OECD countries between 1990 and 2012, along with an indicator of the stringency of climate change policy developed by the OECD (Botta and Kozluk,
2014). 2 The graph shows a striking correlation between innovation efforts, as measured by patent filings, and the stringency of policy. Analyses of this phenomenon include Lanjouw and Mody (1996), Jaffe and Palmer (1997), and Brunnermeier and Cohen (2003) who show a significant correlation within industries over time between innovative activity and environmental regulatory stringency (proxied by pollution control expenditures). Similarly, Johnstone et al. (2010) find that patenting activity for renewable energy technologies, measured by applications for renewable energy patents submitted to the European Patent Office (EPO), has increased dramatically in recent years, as both national policies and international efforts to combat climate change begin to provide incentives for innovation. Dechezleprtre and Glachant (2014) show that public policies that encourage the diffusion of renewable energy technologies, such as feed-in tariffs and renewable energy certificates, induce technological change, so that for every 100 MW of new wind power capacity installed in OECD countries, three new inventions are patented on average.
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Упражнение 1. Переведите все фразы, выделенные жирным шрифтом в тексте. Какие приёмы были использованы при переводе? Аргументируйте свой выбор данного варианта перевода.
Упражнение 2. Найдите в тексте все вводные фразы и переве- дите их на русский язык.
Текст 13. Abstract
Прочитайте текст (аннотацию к научной статье) и выполни­те упражнения после него.
Abstract: This article focuses on the question of how a shift from a narrow economic perspective to a wider sustainable wellbeing focus in regional development strategies and actions might change rural–urban relations. A brief review of relevant research and discourses about
economic development models provides the foundation for the analysis.
The review leads to the development of an analytical framework that puts the notion of sustainable wellbeing at its center. The criteria
included in the analytical framework are then used to assess the current situation, challenges and perceived ways forward based on data and analyses from 11 European regions. The focus of the analysis is on
different expressions of a sustainable wellbeing economy, and aspects of territorial development that are consistent with the basic features of a wellbeing economy are identified. Development dynamic sand tensions between different development goals and resource uses, strategies and actions that are in favor of sustainable wellbeing goals, and conditions for more mutually beneficial rural–urban relationships are discussed. The article concludes with the implications for local government, and governance and policy frameworks. Reference is made to current high-level strategic policy frameworks and the European Green Deal. Keywords: sustainable wellbeing; rural–urban relations; land
management; local government; governance; policy; case studies; Europe.
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1. Introduction
In 2012, the OECD contended in its Environmental Outlook to 2050 that business as usual is not an option anymore: “Humanity has witnessed unprecedented growth and prosperity in the past decades, with the size of the world economy more than tripling. This growth, however, has been accompanied by environmental pollution and natural resource depletion. The current growth model and the mismanagement of natural assets could ultimately undermine human development [1]. In 2015, the 193 countries of the UN General Assembly adopted the 2030 Agenda for Sustainable Development. The 17 Sustainable Development Goals (SDG) that concretize the agenda aim to build an “inclusive, sustainable and resilient future for people and planet” [2]. These high-level goals align, in terms of programmatic aims, with the European Commission’s Europe 2020 strategy. The strategy explicitly demands an economy based on knowledge and innovation that is resource­efficient and greener, and that provides high employment and social cohesion [3]. The European Commission has recently introduced the European Green Deal. Pitched as “a new EU growth strategy”, the Green Deal promises to “enable European citizens and businesses to benefit from a sustainable green transition by [supporting] investments in green technologies, sustainable solutions and new businesses” [4].
Упражнение 1. Подберите синонимы к следующим словам:
Shift, narrow, perspective, sustainable, wellbeing, development, gov­ernance, implications.
Упражнение 2. Подберите синонимы к следующим фразам:
mismanagement of natural resources,
humanity has witnessed,
unprecedented growth.
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Упражнение 3. Переведите следующие фразы на русский язык:
policy frameworks, concretize the agenda aim, mismanagement of natural assets, the strategy explicitly demands, resource-efficient, high employment and social cohesion, “a new EU growth strategy”.
Упражнение 4. Переведите все предложения в тексте, выде- ленные жирным шрифтом.
Текст 14. Digital Participation as Part of the Political Socialization Process
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Digital Participation as Part of the Political Socialization Process
How young adults engage with politicians through social media may have a lasting influence on their relationship with politics. Theoretical as well as empirical work in the field of political socialization demonstrates that many civic attitudes and behaviors are primarily developed as young adults become eligible to vote (Valentino & Sears, 1998), and during the period following this first formal exercise of citizenship, the so-called formative years (Mannheim, 1928/1952); it also results from young citi­zens perceiving the political world as remote and unresponsive to them (Loader, 2007). Hence, political interest is still developing during late ado­lescence and early adulthood (e.g., Fisher et al., 2019), and the impact of news and current affairs information is particularly pronounced during those years (Moeller, de Vreese, Esser, & Kunz, 2014).
At the same time, the development of civic attitudes and behaviors goes hand in hand with young citizens’ general identity formation: How they orient themselves towards the political world is likely to have a lasting impact on their later lives. Gerber, Green, and Shachar (2003) find, for ex­ample, that turnout for earlier elections is significantly associated with electoral participation in later stages of life. This orientation towards poli-
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tics mostly takes place in the digital sphere (Literatetal., 2018). Online, young citizens can make use of their digital skills and realize their aims through communication practices familiar to them. Research demonstrates that online civic communication mediates political information processing (Leeatal., 2013), and functions as a stepping-stone towards offline partici­pation (Moelleretal., 2014). One core mechanism in this process is the de­velopment of internal political efficacy (e.g., Maurissen, 2018), or the per­ception of being competent “to understand and to participate effectively in politics” (Craig, Niemi, & Silver, 1990, p. 290). By engaging with politics in the digital realm, adolescents gain confidence in their civic skills, which later translates into more political participation (Moeller et al., 2014). In this process, communication with politicians on social media may play a decisive role to bridge the gap between the seemingly abstract political world and the reality of adolescent life. Through engagement with politi­cians and politics online, adolescents can also foster perceptions of exter­nal efficacy or feeling heard. In an extensive review of the Civic Web re­search project that studied political participation of young citizens, Banaji­and Buckingham (2010) find that politicians’ meaningful engagement with adolescents in the context of peer-to-peer communication raises both ado­lescents’ confidence in the responsiveness of the political system and their motivation to express their citizenship. The authors conclude that many characteristics of online communication, such as interactivity and open­ness, can empower young citizens to participate. This perspective regards young people as active agents in their own political socialization (Bennett,
2008). Social media facilitate this active role by allowing active curation and passive, algorithmic selections: Political information is not something that happens only in the news, but can be shared, forwarded, commented on, or remixed (Coleman, 2008).
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Упражнение 1. Переведите следующие словосочетания и фразы:
perceiving the political world as remote and unresponsive to them,
early adulthood,
civic attitudes and behaviors,
a stepping-stone,
internal political efficacy,
a lasting impact,
digital realm,
Through engagement with politicians,
foster perceptions of external efficacy or feeling heard,
peer-to-peer communication.
Упражнение 2. Переведите любые четыре предложения из тек- ста, нарочно допустив несколько ошибок. Обменяйтесь с партнёром вариантами перевода, найдите ошибки и исправьте их.
Текст 15. Роль социальных медиа в формировании имиджа
политических лидеров
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Роль социальных медиа в формировании имиджа
политических лидеров
Более того, на сегодняшний день социальные медиа играют большую роль и в формировании имиджа политических лидеров как неотъемлемой части политического процесса. В течение последних
нескольких лет ключевым инструментом формирования имиджа политических лидеров стали именно ресурсы сети Интернет, что обусловливается как динамичным развитием сети, так и ста­бильным приростом пользователей на территории России.
Говоря о социальных сетях, следует отметить, что именно они яв­ляются максимально эффективными информационными площадками для развития имиджа политического лидера, а также установления крепкой коммуникации с электоратом [Лукъянцев; Шарков, 2014].
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Можно также говорить и о том, что интернет-сообщества являются по-настоящему максимально благоприятными услови­ями для проявления политической активности различных уров­ней [Чижов].
Политические лидеры федерального уровня используют раз­личные интернет-площадки для взаимодействия с общественностью. С другой стороны, политики регионального уровня выбирают для своего присутствия в Интернете 1 – 2 сервиса. Тем не менее форми-
рование имиджа в рамках интернет-сообщества для политика любого уровня является важным аспектом, поэтому политикам необходимо найти добросовестных специалистов, которые будут вести аккаунты в социальных сетях, контактируя с подписчика­ми и посетителями онлайн.
Влияние социальных сетей на политические процессы. На при- мере рассмотрения активности мэра г. Москвы Сергея Собянина
можно оценить механизмы влияния социальных медиа в рамках со­временных политических процессов. Мэр Москвы Сергей Собянин – политик федерального уровня, так как является главой города феде­рального значения. Данный политический деятель имеет личные страницы в следующих социальных сетях, а именно:
• «Вконтакте» (https://vk.com/mossobyanin);
• «Твиттер» (https://twitter.com/mossobyanin);
• «Фейсбук» (https://www.facebook.com/blogsobyanin/);
• «Инстаграм» (https://www.instagram.com/mossobyanin/).
Следует отметить, что в данных социальных сетях Сергей Со­бянин информирует о новостях столицы, начиная от ситуации со строительством метро и заканчивая информацией о грядущих погод­ных условиях. Данные аспекты особенно характерны для страниц Собянина во «Вконтакте» и «Твиттере». Например, в числе записей от 26 января 2019 г. появился такой пост: «Сегодняшний и ближай­шие дни будут серьезным испытанием для города. Перепад темпера­тур – до плюсовых значений. Сильные снегопады накроют Москву.
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Коммунальные службы будут работать в усиленном режиме» [Офи­циальный…]. С другой стороны, аккаунт мэра столицы в «Фейсбуке» является информационным источником относительно обновления официального сайта мэра Москвы (mos.ru). Здесь записи появляются реже, чем в рассмотренных выше социальных сетях.
Упражнение 1. Переведите следующие фразы на английский язык:
– следует отметить
– максимально эффективные информационные площадки
– с другой стороны
– политические лидеры федерального уровня
– добросовестных специалистов
– вести аккаунты
– механизмы влияния социальных медиа
– в рамках современных политических процессов
– главой города федерального значения
Упражнение 2. Переведите следующие предложения на ан- глийский язык. Обратите внимание на слова, выделенные жирным шрифтом.
а) На примере рассмотрения активности мэра г. Москвы Сергея Собянина можно оценить механизмы влияния социальных медиа в рамках современных политических процессов.
б) Например, в числе записей от 26 января 2019 г. появился та­кой пост: «Сегодняшний и ближайшие дни будут серьезным испыта­нием для города».
Упражнение 3. Адекватно переведите все предложения в тек- сте, выделенные жирным шрифтом.
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Текст 16. Hand-Gesture Recognition Based on EMG and Event­Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing
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Hand-Gesture Recognition Based on EMG and Event-Based Camera
Sensor Fusion: A Benchmark in Neuromorphic Computing
1
Institute of Neuroinformatics, University of Zurich, ETH Zurich,
Zurich, Switzerland
2
ICTEAM Institute, Université Catholique de Louvain, Louvain-
la-Neuve, Belgium
3
Temasek Laboratories, National University of Singapore, Singa-
pore, Singapore
4
Université Côte d'Azur, CNRS, LEAT, Nice, France Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech to communicate. Nowadays, with the increasing use of technology, hand-gesture recognition is considered to be an important aspect of Human-Machine Interaction (HMI), allowing the machine to capture and interpret the user's intent and to respond accordingly. The ability to discriminate between human gestures can help in several applications, such as assisted living, healthcare, neuro­rehabilitation, and sports. Recently, multi-sensor data fusion mechanisms have been investigated to improve discrimination accuracy. In this paper, we present a sensor fusion framework that integrates complementary systems: the electromyography (EMG) signal from muscles and visual information. This multi-sensor approach, while improving accuracy and robustness, introduces the disadvantage of high computational cost, which grows exponentially with the number of sensors and the number of measurements. Furthermore, this huge amount of data to process can
affect the classification latency which can be crucial in real-case scenarios, such as prosthetic control. Neuromorphic technologies can be
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deployed to overcome these limitations since they allow real-time processing in parallel at low power consumption. In this paper, we present a fully neuromorphic sensor fusion approach for hand-gesture recognition comprised of an event-based vision sensor and three different neuromorphic processors. In particular, we used the event-based camera, called DVS, and two neuromorphic platforms, Loihi and ODIN + MorphIC. The EMG signals were recorded using traditional electrodes and then converted into spikes to be fed into the chips. We collected a dataset of five gestures from sign language where visual and electromyography signals are synchronized. We compared a fully neuromorphic approach
to a baseline implemented using traditional machine learning approaches on a portable GPU system. According to the chip's
constraints, we designed specific spiking neural networks (SNNs) for sensor fusion that showed classification accuracy comparable to the software baseline. These neuromorphic alternatives have increased inference time, between 20 and 40 %, with respect to the GPU system but have a significantly smaller energy-delay product (EDP) which makes them between 30× and 600× more efficient. The proposed work represents a new benchmark that moves neuromorphic computing toward a real-world scenario.
DVS and EMG Sensors
2.1.1. DVS Sensor
The DVS (Lichtsteiner et al., 2006) is a neuromorphic camera inspired by the visual processing in the biological retina. Each pixel in the sensor array responds asynchronously to logarithmic changes in light. Whenever the
incoming illumination increases or decreases above a certain threshold, it generates a polarity spike event. The polarity corresponds to the sign of the change; ON polarity for an increase in light, and OFF polarity for a decrease in light. The output is a continuous and
sparse train of events, interchangeably called spikes throughout this paper,
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