Bibliografías temáticas / Churu language

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Literatura académica sobre el tema "Churu language"

Autor: Grafiati
Publicado: 25 de julio de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Churu language"

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Cooper, Ilay. "The painted walls of Churu, Jhunjhunu and Sikar districts of Rajasthan." South Asian Studies 2, no. 1 (1986): 21–35. http://dx.doi.org/10.1080/02666030.1986.9628342.

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Dinh, Huong Thao, Huu Dinh Tran, and Thuy Duong Nguyen. "The genetic structures of the Churu, Ede and Giarai unravelled by complete mitochondrial DNA." Academia Journal of Biology 46, no. 3 (2024): 63–72. http://dx.doi.org/10.15625/2615-9023/18604.

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Vietnam, a nation with a rich and complex history of migration and settlement, is home to 5 fundamental language families: Austroasiatic (AA), Tai-Kadai (TK), Austronesian (AN), Sino-Tibetan (ST) and Hmong-Mien (HM). Among them is the Austronesian, a language family substantial in island Southeast Asia (ISEA) but marginal in mainland counterpart (MSEA), constituted five Vietnamese ethnolinguistic groups. Here, we analyzed the control region, and the complete mitochondrial DNA (mtDNA) of 121 individuals from 3 AN-speaking populations (Churu, Ede, and Giarai). To explore the molecular diversity,
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Dr., Amit Saraswat. "Rathi – The Desert Rani." Science World a monthly e magazine 2, no. 3 (2022): 308–12. https://doi.org/10.5281/zenodo.6371197.

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Rathi is a mosaic indigenous breed, believed to be evolved from Sahiwal, Tharparkar, Dhanni and Red Sindhi breeds. It is also known as “Desert Rani”. It is believed that the word “Rathi” was coined by the local people in Lunkaransar area of Rajasthan. The actual meaning of Rathi in Marwar language is ‘very docile and calm animal’. While some believes that Rathi name might have originated from a pastoral tribe called Raths who are muslims of Rajput extraction and lead a nomadic life. Home tract of Rathi cattle is mainly Lunkaransar Tehsil of Bikaner district
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Abhinav S. Thorat, Et al. "Optimizing Churn Identification in Telecommunications Using Natural Language Processing and XG Boost Machine Learning Paradigm." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 4226–32. http://dx.doi.org/10.17762/ijritcc.v11i9.9873.

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With the increasing competition in the telecom sector, accurate churn prediction has become indispensable for service providers seeking to retain customers. This research paper introduces a novel approach that combines Machine Learning (ML) and Natural Language Processing (NLP) and specifically leveraging the XGBoost algorithm, to enhance the precision and efficiency of churn prediction in the telecom industry. The integration of NLP enables the extraction of meaningful insights from diverse data sources, while XGBoost, a powerful gradient boosting algorithm, is employed to build a robust pred
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5

Kahnami, Leila, Julia Young, Jason Brophy, Lena Serghides, Ari Bitnun, and Mary Lou Smith. "59 Perinatal Risk Factors and Cognitive Outcomes in Children HIV-Exposed, Uninfected." Journal of the International Neuropsychological Society 29, s1 (2023): 55–56. http://dx.doi.org/10.1017/s1355617723001418.

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Objective:Children who are HIV-exposed uninfected (CHEU) are at risk of neurodevelopmental impairments due to perinatal HIV and antiretroviral therapy exposure as well as additional health and psychosocial burdens. There is limited understanding of the impact of perinatal risk factors on long-term outcomes of CHEU. The present study investigated the association between perinatal risk factors and the intellectual and language abilities in CHEU and children who are HIV-unexposed uninfected (CHUU).Participants and Methods:CHEU and CHUU, 6 to 10 years, of age underwent neurodevelopmental assessmen
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Haokip, Dr D. Mary Kim, and Lorina D Tariang. "SEGMENTAL PHONOLOGY OF KAIPENG." JOURNAL OF ENGLISH LANGUAGE AND LITERATURE 11, no. 04 (2024): 16–32. https://doi.org/10.54513/joell.2024.11403.

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This paper aims to present the segmental phonology of Kaipeng, an endangered language spoken in the two North-Eastern states namely, Tripura and Mizoram. The total number of Kaipeng speakers in Tripura is approximately 15000. The term Kaipeng is used to represent both the language and the people. The word ‘Kaipeng’ is derived from two words: kai meaning ‘to lead’ and peng meaning ‘another way or path’. Thus, Kaipeng literally means leading someone towards another path. Linguistically, Kaipeng belongs to the Kuki-Chin sub-group of the Tibeto Burman language family. It has close affinities with
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Almuqren, Latifah, Fatma S. Alrayes, and Alexandra I. Cristea. "An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach." Future Internet 13, no. 7 (2021): 175. http://dx.doi.org/10.3390/fi13070175.

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With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing customer churn by increasing customer satisfaction. Telecom companies have depended on historical customer data to measure customer churn. However, historical data does not reveal current customer satisfaction or future likeliness to switch between telecom companies. The related research reveals that many studies have focused on developing churner
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Shahabikargar, Maryam, Amin Beheshti, Wathiq Mansoor, et al. "ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering." Algorithms 18, no. 4 (2025): 238. https://doi.org/10.3390/a18040238.

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Customers are the cornerstone of business success across industries. Companies invest significant resources in acquiring new customers and, more importantly, retaining existing ones. However, customer churn remains a major challenge, leading to substantial financial losses. Addressing this issue requires a deep understanding of customers’ cognitive status and behaviours, as well as early signs of churn. Predictive and Machine Learning (ML)-based analysis, when trained with appropriate features indicative of customer behaviour and cognitive status, can be highly effective in mitigating churn. A
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Malleswari, M., R. J. Manira, Praveen Kumar, and Murugan . "Comparative Analysis of Machine Learning Techniques to Identify Churn for Telecom Data." International Journal of Engineering & Technology 7, no. 3.34 (2018): 291. http://dx.doi.org/10.14419/ijet.v7i3.34.19210.

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Big data analytics has been the focus for large scale data processing. Machine learning and Big data has great future in prediction. Churn prediction is one of the sub domain of big data. Preventing customer attrition especially in telecom is the advantage of churn prediction. Churn prediction is a day-to-day affair involving millions. So a solution to prevent customer attrition can save a lot. This paper propose to do comparison of three machine learning techniques Decision tree algorithm, Random Forest algorithm and Gradient Boosted tree algorithm using Apache Spark. Apache Spark is a data p
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Yan, Jialu. "AI-driven Streaming Customer Churn Prediction and Management Research." Mathematical Modeling and Algorithm Application 3, no. 3 (2025): 1–4. https://doi.org/10.54097/6vyn3t22.

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Against the backdrop of increasingly fierce competition in the streaming media field, how to prevent customer churn has become a severe test faced by major operating platforms. The use of artificial intelligence technology, especially in-depth mining and analysis of customer behavior data, provides solid support for predicting and responding to customer churn. This article aims to study how to use AI technology to accurately identify potential customer groups that may be lost and develop targeted management strategies from the perspectives of machine learning, deep learning, natural language p
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Tesis sobre el tema "Churu language"

1

Joshi, Apoorva. "Trajectory-based methods to predict user churn in online health communities." Thesis, University of Iowa, 2018. https://ir.uiowa.edu/etd/6152.

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Online Health Communities (OHCs) have positively disrupted the modern global healthcare system as patients and caregivers are interacting online with similar peers to improve quality of their life. Social support is the pillar of OHCs and, hence, analyzing the different types of social support activities contributes to a better understanding and prediction of future user engagement in OHCs. This thesis used data from a popular OHC, called Breastcancer.org, to first classify user posts in the community into the diff
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2

Chur-Hansen, Anna. "An investigation of the English language proficiency and academic and clinical performance of University of Adelaide Medical School undergraduates / Anna Chur-Hansen." Thesis, 1998. http://hdl.handle.net/2440/19261.

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Author's revision to her thesis is in envelope on back page.<br>Copies of author's previously published works inserted.<br>Bibliography: leaves 472-502.<br>xvi, 502 leaves : ill. ; 30 cm.<br>The first aim of this thesis is to investigate the English language proficiency of several cohorts of undergraduate medical students enrolled at the University of Adelaide, South Australia, employing both quantitative and qualitative measures. The second is to consider the influence of students' English language proficiency upon their academic and clinical performance. The thesis puts forward recommendatio
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Libros sobre el tema "Churu language"

1

Cimarrón, Juan Bautista Añapa. Chachi: Lala'cha'kuinda, naa na chumu juhua ju'bain, naa chaibain. Indio Hilfe Ediciones, 2003.

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2

Ludwig, Andreas W. Die deutsche Urkundensprache Churs im 13. und 14. Jahrhundert: Graphemik, Phonologie und Morphologie. W. de Gruyter, 1989.

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3

O, So-jŏng. Oegugin ŭi Hanʼgugŏ haksŭp esŏ onŭn munjechŏm e taehan yŏnʼgu: Churo Yŏngŏkwŏn oegugin ŭl chungsim ŭro. s.n.], 1986.

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4

Graubünden, Institut für Kulturforschung, ed. Schrift, Schriftgebrauch und Textsorten im frühmittelalterlichen Churrätien: Vorträge des internationalen Kolloquiums vom 18. bis 20. Mai 2006 im Rätischen Museum in Chur. Schwabe, 2008.

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5

H, McLeod Susan, and Soven Margot, eds. Writing across the curriculum: A guide to developing programs. Sage Publications, 1992.

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6

Ryder, Randall J. Reading and learning in content areas. 3rd ed. J. Wiley & Sons, 2003.

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Ryder, Randall J. Reading and learning in content areas. Merrill, 1994.

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Chubu hogen ko (Nihon Retto hogen sosho). Yumani Shobo, 1996.

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9

Ludwig, Andreas W. Die Deutsche Urkundensprache Churs Im 13. und 14. Jahrhundert: Graphemik, Phonologie und Morphologie. de Gruyter GmbH, Walter, 2011.

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10

Churo diccionario chapaco: Modismos, vulgarismos y metaplasmos de la región. Equipo Editorial, 2008.

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Capítulos de libros sobre el tema "Churu language"

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"Poll of Chur students concerning their language background." In Languages in Contact. John Benjamins Publishing Company, 2011. http://dx.doi.org/10.1075/z.166.16app.

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2

Ramsey, Gregory W., and Sanjay Bapna. "Predicting Patient Turnover." In Computational Methods and Algorithms for Medicine and Optimized Clinical Practice. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8244-1.ch006.

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Predicting patient turnover within health services is beneficial for resource planning. In this chapter, patient turnover is viewed as a form of customer churn. As such, the authors examine whether free-form notes are useful for solving the classification problem typically associated with customer churn. The authors show that classifiers which incorporate free-form notes, using natural language processing techniques, are up to 11% more accurate than classifiers that are solely developed using structured data. In addition, the authors show that free-form notes aggregated for each account perfor
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3

Plumb, May Helena, Alejandra Dubcovsky, Moisés García Guzmán, Brook Danielle Lillehaugen, and Felipe H. Lopez. "Growing a Bigger Linguistics Through a Zapotec Agenda." In Decolonizing Linguistics. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197755259.003.0017.

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Abstract The Ticha Project is a digital endeavor focused on knowledge repatriation and language reclamation, guided by a Zapotec agenda that centers Zapotec goals and authority. This decolonial practice forges a collaborative, reciprocal scholarship where Zapotec and non-Native experts work together in pursuit of overlapping goals, forming an interdisciplinary community which resists the individualism of academia and draws strength from an inclusive Zapotec collective. In this chapter the authors detail Ticha’s working philosophy through two interrelated projects: (1) Caseidyneën Saën, an e-bo
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Mitra, Archan, and Sanchita Paul. "Harnessing AI-Driven Personalization for Financial Brand Loyalty." In Intersecting Natural Language Processing and FinTech Innovations in Service Marketing. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9944-6.ch014.

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In the competitive FinTech landscape, where loyalty and retention are vital, AI-driven personalization emerges as a transformative tool for fostering meaningful customer relationships. This research investigates the integration of Emotional Intelligence (EI) within AI-driven strategies to enhance brand loyalty. The study explores how emotionally intelligent AI impacts loyalty, engagement, and trust through case studies and quantitative analysis. It emphasizes designing empathetic, contextually relevant interactions to reduce churn and deepen brand affinity while addressing ethical concerns lik
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Sroka, Jakub. "Wujek GOOGLE ma dziś próbę chóru – o ludycznych technikach wprowadzania i utrwalania słownictwa na lekcjach języka obcego." In Ludyczność w (glotto)dydaktyce. Wydawnictwo Uniwersytetu Łódzkiego, 2020. http://dx.doi.org/10.18778/8220-114.7.07.

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The article presents the ludic technics the author uses during introducing and consolidating vocabulary in a foreign language classes. It provides a description of what these methods are about, how they were created, under what circumstances they could be used and what didactics could achieve thanks to them. The Conclusions show relevant reflections about using several introducing and consolidating vocabulary technics, comments and suggestions for teachers that will help them in the implementation task with the use of chosen methods.
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"Fire in the house." In Stirring the Pot of Haitian History, edited by Mariana Past and Benjamin Hebblethwaite. Liverpool University Press, 2021. http://dx.doi.org/10.3828/liverpool/9781800859678.003.0004.

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This chapter explains how the ceremony at Bwa Kayiman—the Vodou ceremony of August 22, 1791, that set the Haitian revolution into motion—was able to come about. The ruling class of powerful landowners and French commissioners was theoretically unified; the class of free people—whether white, mixed race or black—was supposed to be in their fold so that their profiteering would churn on undisturbed. The revolution exploded when the ruling class could no longer balance competing interests and when the lower classes refused to participate in the conspiracy any longer. Trouillot traces the roots of
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Actas de conferencias sobre el tema "Churu language"

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Fallaah, Mohhamied Husaein, Shilpa Ajay, A. P. Nandhini, Thomas Koilraj, and Uma S. "Customer Churn Prediction based on Embedding Language Model with Chi Square Test." In 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025. https://doi.org/10.1109/iciscn64258.2025.10934232.

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Kutafeva, Nataliia V. "Verbs Expressing Plurality in Japanese Language." In ВОСТОК-ФОКУС: актуальные вопросы изучения истории, международ ных отношений и культур стран Востока: материалы VII Международной научно-практической конференции. IPC NSU, 2024. https://doi.org/10.25205/978-5-4437-1701-2-39.

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The work analyzes the lexical way of expressing plurality using two groups of verbs. The first group combines verbs with the meaning of connecting objects or peoples (atsumaru ‘to gather’ — atsumeru ‘to collect’), the second group combines verbs with the meaning of separating a whole into parts (chiru ‘desperse’ — chirasu ‘scatter’, kubaru ‘distribute’). The studied verbs are polysemantic, so different models are used to realize their meanings. In addition, various ways of expressing plurality in a sentence were analyzed.
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Hidey, Christopher, and Sarthak Sarthak. "Compute-Efficient Churn Reduction for Conversational Agents." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track. Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.emnlp-industry.28.

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Abbet, Christian, Meryem M’hamdi, Athanasios Giannakopoulos, et al. "Churn Intent Detection in Multilingual Chatbot Conversations and Social Media." In Proceedings of the 22nd Conference on Computational Natural Language Learning. Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/k18-1016.

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