Academic literature on the topic 'Book industries and trade, data processing'

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Journal articles on the topic "Book industries and trade, data processing"

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Ngulumbu, Benjamin Musembi, and Fanice Waswa. "Abdul, G., A., & Sehar, S. (2015). Conflict management and organizational performance: A case study of Askari Bank Ltd. Research Journal of Finance and Accounting. 6(11), 201. Adhiambo, R., & Simatwa, M. (2011). Assessment of conflict management and resolution in public secondary schools in Kenya: A case study of Nyakach District. International Research Journal 2(4), 1074-1088. Adomi, E., & Anie, S. (2015). Conflict management in Nigerian University Libraries. Journal of Library Management, 27(8), 520-530. https://doi.org/10.1108/01435120610686098 Amadi, E., C., & Urho, P. (2016). Strike actions and its effect on educational management in universities in River State. Kuwait Chapter of Arabian Journal of Business and Management Review, 5(6), 41-46. https://doi.org/10.12816/0019033 Amah, E., & Ahiauzu, A. (2013). Employee involvement and organizational effectiveness. Journal of Management Development, 32(7), 661-674. https://doi.org/10.1108/JMD-09-2010-0064 Amegee, P. K. (2010). The causes and impact of labour unrest on some selected organizations in Accra. University of Ghana Awan, A., G., & Anjum K. (2015). Cost of High Employees turnover Rate in Oil industry of Pakistan, Information and Knowledge Management, 5 (2), 92- 102. Bernards, N. (2017). The International Labour Organization and African trade unions: tripartite fantasies and enduring struggles. Review of African Political Economy, 44(153), 399-414. https://doi.org/10.1080/03056244.2017.1318359 Blomgren Amsler, L., Avtgis, A. B., & Jackman, M. S. (2017). Dispute System Design and Bias in Dispute Resolution. SMUL Rev., 70, 913. Boheim, R., & Booth, A. (2004). Trade union presence and employer provided training in Great Britain industrial relations 43: pp 520-545. https://doi.org/10.1111/j.0019-8676.2004.00348.x Bryson, A., & Freeman, R. B. (2013). Employee perceptions of working conditions and the desire for worker representation in Britain and the US. Journal of Labor Res 34(1), 1–29. https://doi.org/10.1007/s12122-012-9152-y Buccella, D., & Fanti, L. (2020). Do labour union recognition and bargaining deter entry in a network industry? A sequential game model. Utilities Policy, 64, 101025. https://doi.org/10.1016/j.jup.2020.101025 Constitution, K. (2010). Government printer. Kenya: Nairobi. Cortés, P. (Ed.). (2016). The new regulatory framework for consumer dispute resolution. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198766353.001.0001 Creighton, B., Denvir, C., & McCrystal, S. (2017). Defining industrial action. Federal Law Review, 45(3), 383-414. Daud, Z., & Bakar, M. S. (2017). Improving employees' welfare. European Journal of Industrial Relations, 25(2), 147-162. Deery, S., J., Iverson, R., D., & Walsh, J. (2010). Coping strategies in call centers: Work Intensity and the Role of Co-workers and Supervisors. International Journal of employment relations, 48(1), 189-200. https://doi.org/10.1111/j.1467-8543.2009.00755.x Durrani, S. (2018). Trade Unions in Kenya's War of Independence (No. 2). Vita Books. https://doi.org/10.2307/j.ctvh8r4j2 Dwomoh, G., Owusu, E., E., & Addo, M. (2013). Impact of occupational health and safety policies on employees’ performance in the Ghana’s timber industry: Evidence from Lumber and Logs Limited. International Journal of Education and Research, 1 (12), 1-14. Edinyang, S., & Ubi, I. E. (2013). Studies secondary school students in Uyo Local government area of AkwaIbom State, Nigeria. Global Journal of Human Resource Management, 1(2), 1-8. Ewing, K., & Hendy, J. (2017). New perspectives on collective labour law: Trade union recognition and collective bargaining. Industrial Law Journal, 46(1), 23-51. https://doi.org/10.1093/indlaw/dwx001 Fitzgerald, I., Beadle, R., & Rowan, K. (2020). Trade Unions and the 2016 UK European Union Referendum. Economic and Industrial Democracy. https://doi.org/10.1177/0143831X19899483 Gall, G., & Fiorito, J. (2016). Union effectiveness: In search of the Holy Grail. Economic and Industrial Democracy, 37(1) 189211. https://doi.org/10.1177/0143831X14537358 Gathoronjo, S. N. (2018). The Ministry of labour on the causes of labour disputes in the public sector. University of Nairobi. Iravo, M. A. (2011). Effect of conflict management in performance of public secondary schools in Machakos County, Kenya. Kenyatta University. Jepkorir, B. M. (2014). The effect of trade unions on organizational productivity in the cement manufacturing industry in Nairobi. University of Nairobi. Kaaria, J. K. (2019). Trade Liberalization and Export Survival In Kenya. University of Nairobi. Kaburu, Z. (2010). The relationship between terms and conditions of service and motivation of domestic workers in Nairobi. University of Nairobi. Kambilinya, I. (2014). Assessment of performance of trade unions. Master’s Thesis Submitted to University of Malawi. Kamrul, H., Ashraful, I., & Arifuzzaman, M. (2015). A Study on the major causes of labour unrest and its effect on the RMG sector of Bangladesh. International Journal of Scientific & Engineering Research, 6 (11). Kazimoto, P. (2013). Analysis of conflict management and leadership for organizational change. International Journal of Research in Social Sciences, 3(1), 16-25. Khanka, I. (2015). Industrial relations in Tanzania. University of Dar-es-salaam. Kisaka, C. L. (2010). Challenges facing trade unions in Kenya. Master’s Thesis Submitted to University of Nairobi. Kituku, M. N. (2015). Influence of conflict resolution strategies on project implementation. A Case of Titanium Base Limited Kwale County Kenya. University of Nairobi. Kmietowicz, Z. (2016). Ballot on industrial action by GPs averted as government accepts BMA’s demands. https://doi.org/10.1136/bmj.i4619 KNHCR (2020). Key Business and Human Rights Concerns in Kenya. Retrieved from http://nap.knchr.org/NAP-Scope/Key-Business-and-Human-Rights-Concerns-in-Kenya. Magone, J. (2018). Iberian trade unionism: Democratization under the impact of the European Union. Routledge. https://doi.org/10.4324/9781351325684 Menkel-Meadow, C. J., Porter-Love, L., Kupfer-Schneider, A., & Moffitt, M. (2018). Dispute resolution: Beyond the adversarial model. Aspen Publishers. Mlungisi, E. T. (2016). The liability of trade unions for conduct of their members during industrial action. MoLSP (2020). Ministry of Labor and Social Protection, Registrar of Trade Unions. Retrieved from https://labour.go.ke/department-of-trade-unions/ Msila, X. (2018). Trade union density and its implications for collective bargaining in South Africa. University of Pretoria. Mulima, K. J. (2017). Trade Union Practices on Improvement of Teachers Welfare. University of Nairobi). Năstase, A., & Muurmans, C. (2020). Regulating lobbying practices in the European Union: A voluntary club perspective. Regulation & Governance, 14(2), 238-255. https://doi.org/10.1111/rego.12200 Otenyo, E. E. (2017). Trade unions and the age of information and communication technologies in Kenya. Lexington Books. Powell, J. (2018). Towards a Marxist theory of financialised capitalism. https://doi.org/10.1093/oxfordhb/9780190695545.013.37 Razaka, S. S., & Mahmodb, N. A. K. N. (2017). Trade Union Recognition in Malaysia: Transforming State Government’s Ideology. Proceeding of ICARBSS 2017 Langkawi, Malaysia, 2017(29th), 175." Journal of Strategic Management 6, no. 1 (2022): 43–58. http://dx.doi.org/10.53819/81018102t2041.

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The Constitution of Kenya specifically recognizes the freedom of association to form and belong to trade unions. However, despite the adoption of the Labour Relations Act, union practice is still hampered by excessive restrictions. The EPZ companies are labor intensive requiring a large amount of labor to produce its goods or service and thus, the welfare of the employees play a key role in their functions. This study sought to determine the effect of trade union practices on employees’ welfare at export processing zones industries in Athi River, Kenya. The specific objectives sought to determine the effect of collective bargaining agreements, industrial action, dispute resolution and trade union representation on employees’ welfare at export processing zones industries in Athi River, Kenya. The study employed a descriptive research design. Primary data was collected by means of a structured questionnaire. The target population of the study was employees in EPZ companies in Athi River, Kenya with large employees enrolled in active trade unions. The unit of observation was the employees in the trade unions. The findings indicated that collective bargaining agreements had a positive and significant coefficient with employees’ welfare at the EPZ industries. Industrial action had a positive but non-significant effect with employees’ welfare at Export Processing Zones industries. Dispute resolution had a positive and significant coefficient with employees’ welfare at the EPZ industries. Trade union representation had a positive and significant coefficient with employees’ welfare at the EPZ industries. The study recommended that trade union should avoid the path of confrontation but continue dialogue through the collective bargaining process and demands should be realistic in nature with what is obtainable in the related industry. An existence of a formal two way communication between management and trade unions will ensure that right message is properly understood and on time too. Keywords: Collective Bargaining Agreements, Industrial Action, Dispute Resolution, Trade Union Representation, Employees Welfare & Export Processing Zones
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Wang, Yan, and Na Li. "The Provincial Carbon Footprint and Trade." Advanced Materials Research 524-527 (May 2012): 3514–18. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3514.

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Based on the data of provincial input-output model and the carbon footprint model, the analysis is focused on provincial carbon footprint and the space transfer of carbon emissions. The results have shown that: (1) There are significant differences of provincial total carbon footprint amounts: resource-rich provinces have high total carbon footprint amounts, followed by processing and manufacturing provinces and municipalities; Regions with high energy efficiency have low carbon footprint amounts, so does southwestern region where economic and industrial development level is relatively low. (2) The provincial differences of carbon footprint per capita are related to demand structure: the amounts of carbon footprint are high in provinces with higher demand of consumption and investment, especially those provinces with strong demand for construction and processing industries. The amounts of carbon footprint are low in provinces which are non-resource-based, have limited investment and construction, and its economic structure is not dominated by processing and manufacturing. (3) Interprovincial trades have a significant impact on carbon footprint and carbon emissions. Provinces with well developed infrastructure have net CO2 emissions flow-in that are directly induced by high energy consumption products; southwestern region, where processing and manufacturing industry is relatively less-developed, has main CO2 emission flow-in, which are induced by the demand of processing and manufacturing industries; resource-intensive provinces and provinces with well-developed processing and manufacturing industries have net CO2 emission flow-out, which are induced by interprovincial trades.
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Surepno, Surepno, and Siti Halimatus Sa’diyah. "TINGKAT LITERASI KEUANGAN SYARIAH PELAKU UMKM DAN PENGARUHNYA TERHADAP PERKEMBANGAN UMKM DI KECAMATAN JEPARA." AKSY Jurnal Ilmu Akuntansi dan Bisnis Syariah 4, no. 1 (2022): 145–62. http://dx.doi.org/10.15575/aksy.v4i1.17108.

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This study aims to determine the level of financial literacy of MSME actors in Jepara District and analyze the influence of financial knowledge, financial behavior, financial attitude on the development of MSMEs on MSME actors in the trade sector and processing industry (food products, beverages, and services) in Jepara District. This study uses a quantitative approach using the questionnaire method in data collection. The population in this study were MSME actors engaged in the trade and processing industries (food products, beverages, and services) in Jepara District as many as 242 businesses. The samples studied were 75 respondents who were calculated using the Slovin formula. The data analysis technique used is multiple linear regression analysis. The research results obtained are financial knowledge, financial behavior and financial attitude have a positive effect on the development of MSMEs.
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Shah, Faiza, Yumin Liu, Yasir Shah, et al. "A Blockchain Technique for Trade Credit Maintainability Using the Role of Information and Communication Technology." Journal of Mathematics 2022 (February 27, 2022): 1–11. http://dx.doi.org/10.1155/2022/9621342.

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Recent advances in data analysis and processing methods can improve the ability of computational applications to perform complex steps of different tasks. With the progress of information and communication technologies (ICT), Blockchain-based complex data processing for transaction analysis and smart contract agreement has become a new research area in the fields of mathematics and computation. Stability of financial sector based on the ICT is a core component for growing the economics of medium and small enterprises. This stability brings the innovation to businesses productivity, while the management of information takes more prospective for improving the efficiency and more ways for innovating the business of products. In this study, we use the autoregressive distribution lag (ARDL) model with Blockchain-based complex data processing approach to emphasize the role of ICT in the field of trade credit maintainability. Actually, the ICT connects the industries in the entire world and makes business sectors that use its technologies be more advanced. Based on the ARDL model conducted on the records gathered from 2000 to 2019, the analysis concludes that the ICT-based complex data processing is a critical component of trade credit. The statistics of ICT are chosen based on the economy penetrations through the Internet and mobile phones. The causality exposed between the trade credit and ICT is bidirectional in nature. Also, it is found that the usage of mobile phones has a substantial influence on the business sectors, as a substantial amount of trading and business transactions are conducted over the phone. Therefore, the primary concern is the association between the Blockchain and trade credit, which is thoroughly discussed in this work. The trade credit improves the stability of financial sector and the Blockchain supports its maintainability by the role of ICT. The results of the study can help the business stakeholders and investors to estimate the marketing for future useful execution.
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Hazners, Juris, and Helma Jirgena. "Intra-industry Trade in Latvian Agricultural Commodities and Food Products." International Journal of Economics and Statistics 10 (March 15, 2022): 43–47. http://dx.doi.org/10.46300/9103.2022.10.7.

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The share of simultaneous exports and imports of the same types of products by a country or intra-industry trade has gown continuously over the last century. At the same time, share of inter-industry trade when countries specialize in production and trade occurs only between industries has declined. Trade in differentiated products of the same sector and the same stage of processing is referred to as a horizontal intraindustry trade. Such products are close substitutes for each other in terms of factor inputs and consumption. Trade in products of the same sector at different stages of processing is referred to as a vertical intra-industry trade. According to economic theory, a rise in the share of intra-industry trade is occurring within the trade growth in general due to an economic development and broader integration. Since early nineties, Latvia has remained a net importer of agri-food products. At the same time, both exports and imports of agricultural commodities and processed food products has consistently grown, with total trade turnover increasing. The objective of the study is to determine the share of the intra-industry trade and structural changes in the sectors of Latvian agricultural production and food processing over the last decade. To reach the research objectives, Grubel-Lloyd intraindustry trade indexes, Brülhart marginal intra industry trade indexes and Thom-McDowell indexes of total marginal intraindustry trade were compiled for Latvian agri-food trade data over ten years period from 2002 to 2011. The research results show consistently high share of intra-industry trade in total Latvian trade in agricultural commodities and food products over the whole period. A shift from predominantly vertical marginal intra-industry trade towards horizontal marginal intraindustry trade is observed.
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Fadlli, Muhammad Dzul. "The Role of East Java as A Trade Hub for Eastern Indonesia." East Java Economic Journal 6, no. 1 (2022): 95–110. http://dx.doi.org/10.53572/ejavec.v6i1.80.

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The role of East Java as a trade hub for eastern Indonesia is still in doubt. This study aims to analyze the role of East Java as a trade hub for eastern Indonesia (KTI). This research was conducted descriptively using interregional input-output (IRIO) data with 52 industries in 2016 from BPS. The results of this study show that the proportion of East Java's exports to eastern Indonesia is still small. Although small in proportion, exports by East Java to eastern Indonesia are very profitable for East Java. The value of East Java's exports is greater than the value of its imports. The majority of East Java's exports are used to meet final demand needs. Meanwhile, imports by East Java from eastern Indonesia are dominated by intermediate demand in East Java. Bali is East Java's largest export destination in Eastern Indonesia, followed by Papuan, NTB and NTT. Industries with dominant export values ​​to eastern Indonesia include the Food and Beverage Industry and the Tobacco Processing Industry. Meanwhile, the dominant imports came from a season and annual plantation industry and the metal ore mining industry.
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Robert, Kearny Q., and Lawrence J. Blanchard. "Cotton Cleanability: Part I: Modeling Fiber Breakage." Textile Research Journal 67, no. 6 (1997): 417–27. http://dx.doi.org/10.1177/004051759706700606.

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Cotton's ability to open and release its foreign matter in response to mechanical cleaning treatments is a crucial concern for the textile processing industries. This work is part of a series in which a comprehensive approach to cotton quality in textile processing is developed. The theme is that processing quality is expressed in terms of a trade-off between reduction in foreign matter on the one hand and accumulation of fiber damage on the other. This trade-off between cleaning and damage governs the efficiency of manufacture as well as the quality of the textile product. In order to optimize the processing, it is necessary to be able to measure and interpret this tradeoff; this requires practical methods for quantifying both cleaning and damage. Since the principal overt manifestation of processing damage to cotton is fiber breakage, it is essential to have a methodology for measuring and interpreting incremental amounts of fiber breakage. This study presents a model of fiber breakage that relates the fundamental nature of breakage processes to the observable differences between the length distribution of fibers going into and coming out of a specific processing stage, such as a single machine. This technique is demonstrated with length data derived from the Peyer TexLab instrument system.
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KUZNETSOV, Yurii A. "Comparative analysis of beet sugar industry development of agro-industrial complex in Russia and Ukraine in the context of food security." Economic Analysis: Theory and Practice 21, no. 10 (2022): 1786–821. http://dx.doi.org/10.24891/ea.21.10.1786.

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Subject. The article addresses the activities of sugar beet and sugar industries of Russia and Ukraine to ensure the food security of these countries under sanctions. Objectives. The aim is to consider the origin, formation, and activities of sugar beet industry in the said countries, describe and compare certain results of retrospective analysis of these industries’ development in the context of increasingly tougher regime of foreign trade restrictions. Methods. The study draws on methods of analysis and synthesis, grouping and comparison, abstraction, generalization, and analogy. It employs the analysis of statistical data, using the methods of mathematical modeling, and systems analysis. Results. The analysis of trends in the development of sugar beet industries in Russia and Ukraine enabled to describe the levels of provision of the population with sugar and confectionery, and the provision of the food and processing industry with sugar and by-products of its production. Conclusions. At present, Russia has a real opportunity, to maintain a high level of consumption of sugar and confectionery by the population of the country; to provide sugar and by-products of its production to the food and processing industries; to increase the export of sugar beet products of the agro-industrial complex of Russia. The findings can be used in long-term planning of the Russian sugar beet industry development and in scientific research.
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Itto-Nakama, Kaori, Shun Watanabe, Naoko Kondo, et al. "AI-based forecasting of ethanol fermentation using yeast morphological data." Bioscience, Biotechnology, and Biochemistry 86, no. 1 (2021): 125–34. http://dx.doi.org/10.1093/bbb/zbab188.

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ABSTRACT Several industries require getting information of products as soon as possible during fermentation. However, the trade-off between sensing speed and data quantity presents challenges for forecasting fermentation product yields. In this study, we tried to develop AI models to forecast ethanol yields in yeast fermentation cultures, using cell morphological data. Our platform involves the quick acquisition of yeast morphological images using a nonstaining protocol, extraction of high-dimensional morphological data using image processing software, and forecasting of ethanol yields via supervised machine learning. We found that the neural network algorithm produced the best performance, which had a coefficient of determination of >0.9 even at 30 and 60 min in the future. The model was validated using test data collected using the CalMorph-PC(10) system, which enables rapid image acquisition within 10 min. AI-based forecasting of product yields based on cell morphology will facilitate the management and stable production of desired biocommodities.
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Gul, Ejaz. "Mineral extraction and processing industries: Do they have socioeconomic benefits in a developing country scenario?" Mining of Mineral Deposits 16, no. 1 (2022): 32–42. http://dx.doi.org/10.33271/mining16.01.032.

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Purpose. This study examined the benefits of modernization of small industrial units clustered in Mohmand Marble City, Pakistan focusing on objectives to estimate change in socioeconomic status of rural public living in proximity of Marble City as well as to evaluate increase in productivity of marble tiles and resultant revenue from marble business. Methods. Primary data was collected from respondents to ascertain trends in 2015, 2016 and 2017. These values were projected to 2025 by using computational software GeoGebra. To validate socioeconomic impacts beyond 2025, values of variables were further projected to 2030 using exponential rate model. Findings. Analysis indicated that because of vintage and outdated equipment and plants, presently small marble industrial units were operating at below the optimum potential. These industrial units were required to be clustered in modern Mohmand Marble City. Results showed that after modernization and clustering of small marble industrial units into a modern marble city, socioeconomic status of rural public will be exponentially enhanced, production of marble tiles will be substantially boosted and revenue will increase. Originality. This study used innovative computational software GeoGebra for analysis of data at each stage. It also used catalyst model and exponential rate model to estimate effects of clustering and modernization of mineral industries. In a nutshell, this study is a unique combination of mathematical, computational and spatial framework. Practical implications. The results, conclusions and policy recommendations are globally applicable especially for deve-loping countries to modernize the mineral extraction and processing industries and boost their potential in mineral trade.
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Books on the topic "Book industries and trade, data processing"

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Elliott, Deborah. The bookshop computer guide. 2nd ed. Booksellers Association, 1988.

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Gasparotti, Giorgio. L' eredità di Gutenberg: La rivoluzione del lavoro nell'industria editoriale. Cardo, 1994.

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Gasparotti, Giorgio. L' eredità di Gutenberg: La rivoluzione del lavoro nell'industria editoriale. Cardo, 1994.

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Seminar, MARC Users' Group. MARC in the market place: Harmonizing book trade and library systems : proceedings of the MARC Users' Group Annual Seminar, held at St Martin's College, Lancaster, September 2-4 1986. MARC Users' Group, 1987.

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Gomez, Jeff. Print is dead: Books in our digital age. Macmillan, 2008.

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Nagai, Shōichi. Dēta ga kaeru shuppan hanbai: Jōhōka to māketingu senryaku. Nihon Editā Sukūru Shuppanbu, 1994.

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Martin, David. Data elements for an EDI 'Book product information' message. Book Industry Communication, 1992.

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Martin, David. Data elements for an EDI 'Book product information' message. Book Industry Communication, 1995.

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Coopers & Lybrand. Bringing EDI to the book: The impact of EDI in the book industry. British National Bibliography Research Fund, 1993.

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ISATA International Symposium on Automotive Technology and Automation (28th 1995 Stuttgart, Germany). Rapid prototyping in the automotive industries. Automotive Automation, 1995.

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Book chapters on the topic "Book industries and trade, data processing"

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Coffie, Cephas Paa Kwasi, Hongjiang Zhao, Benjamin Kwofie, and Emmanuel Dortey Tetteh. "Blockchain Smart Contracts and Empathy Trade-Off." In Advances in Data Mining and Database Management. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3632-2.ch009.

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Contracts have emerged as an appropriate expanse for the application of Blockchain to eliminate human mediation perceived to be mired by weaknesses. Smart contracts date back to the 1990s, but the proposed Blockchain technology makes it a great force economically. Beyond the transactional processing qualities of blockchain, industries envisage the technology to resolve divergent human-related complications with traditional contracts. Per literature, smart contracts offer superior economic value with respect to legality, formation, deployment, execution, and cost. These qualities of smart contract ensure performance and eliminate risk. Criticised on the inhumane aspect of the technology in terms of contract amendments and the current influx of foreign-based blockchain companies in Africa limiting indigenous design considerations, the application of smart contracts in continent could be hindered by contract renegotiations strongly embedded in cultural values of empathy. Nonetheless, a trade-off would resolve the contractual bottlenecks in Africa.
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Nahm, Jonas. "Conclusion." In Collaborative Advantage. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197555361.003.0007.

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Chapter 7 concludes by returning to a comparative analysis, reflecting on what can be generalized from the cases of emerging industries presented in this book to broader questions of the role of government in industrial policy in fragmented, global sectors. It presents comparative data from the automobile and electronics industries to show that, even in legacy sectors, distinct national patterns of industrial specialization have shifted the nexus of innovation to global collaboration. The chapter concludes with an epilogue on developments in wind and solar sectors in the very recent past, when unsettled trade relationships with China have begun to undermine the collaborative nature of innovation in renewable energy industries and examines their impact on global attempts to solve the climate crisis.
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Conference papers on the topic "Book industries and trade, data processing"

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Watson, Douglas, Kenneth Morton, Sarah Kern, and Aaron Hausher. "A Better Set of Eyes: Computer Vision Technology to Monitor Safety Zones and Automate Drill Pipe Tally." In IADC/SPE International Drilling Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/208764-ms.

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Abstract An indispensable item for every roughneck is the tally book, used to measure and count the drill pipe entering and exiting the wellbore. The current practice is for a crew member to measure the pipe with a pipe strap and enter the information, each time while tripping, into their tally book. This manual entry is prone to error, leading to potential mistakes in the calculated drilling depth and poorly sequenced lithologies, which in turn may contribute to an unsafe environment and drill bit damage due to inaccurate drillstring length. These mistakes often require an additional trip out of hole and increase the amount of nonproductive time. Computer vision technology has shown promise in other industries with its ability to automate similar recognition and counting tasks. A dual-use system has been developed where the same cameras for pipe counting can be used for red zone entry detection, holding the potential to enhance the overall safety of the drilling process. A pilot application has been created serving dual applications: both counting and measuring the pipe entering the wellbore and detecting personnel movement in the red zone during pipe delivery operations. Each stage of the design process was intently developed, considering requirements for both functionalities of the system. Neural network detection algorithms, 3D localization, and drilling data signal processing all combined to interpret rig state and use the appropriate computer vision algorithms at the correct time. System practicalities such as camera placement, hardware and software robustness, and field-tested accuracy were considered. The system has been deployed for field testing in West Texas. The system succeeded in both accurately maintaining a drill pipe count and detecting personnel in the red zone. The system is designed so that the neural network algorithms can be updated using newly collected data as new scenarios are encountered, such as new weather conditions, lighting environments, additional people on the rig floor, and other dynamic factors. This computer vision technology is the first of its kind on a drilling rig. No other system has been developed that accomplishes not only one of the functions, but also two. Just as we have seen rapid improvements each year in driver assistance technology, the time has come to apply recent advancements in computer vision capabilities to increase the efficiency and overall safety of the rig.
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