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Journal articles on the topic 'The Power of Prompts'

Author: Grafiati

Published: 29 July 2024

Last updated: 31 July 2025

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1

Wei, Jing, Sungdong Kim, Hyunhoon Jung, and Young-Ho Kim. "Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data." Proceedings of the ACM on Human-Computer Interaction 8, CSCW1 (2024): 1–35. http://dx.doi.org/10.1145/3637364.

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Large language models (LLMs) provide a new way to build chatbots by accepting natural language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on naturalistic conversations while pursuing a given goal such as collecting self-report data from users. We explore what design factors of prompts can help steer chatbots to talk naturally and collect data reliably. To this aim, we formulated four prompt designs with different structures and personas. Through an online study (N = 48) where participants conversed with chatbots driven by different designs of prompts, we asses

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Liang, Jenny T., Melissa Lin, Nikitha Rao, and Brad A. Myers. "Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts." Proceedings of the ACM on Software Engineering 2, FSE (2025): 1591–614. https://doi.org/10.1145/3729342.

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Generative pre-trained models power intelligent software features used by millions of users controlled by developer-written natural language prompts. Despite the impact of prompt-powered software, little is known about its development process and its relationship to programming. In this work, we argue that some prompts are programs and that the development of prompts is a distinct phenomenon in programming known as “prompt programming”. We develop an understanding of prompt programming using Straussian grounded theory through interviews with 20 developers engaged in prompt development across a

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Kędzia, Paweł, Maciej Piasecki, Ewa Rudnicka, and Konrad Przybycień. "Automatic Prompt System in the Process of Mapping plWordNet on Princeton WordNet." Cognitive Studies | Études cognitives, no. 13 (June 21, 2015): 123–41. http://dx.doi.org/10.11649/cs.2013.008.

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Automatic Prompt System in the Process of Mapping plWordNet on Princeton WordNetThe paper offers a critical evaluation of the power and usefulness of an automatic prompt system based on the extended Relaxation Labelling algorithm in the process of (manual) mapping plWordNet on Princeton WordNet. To this end the results of manual mapping – that is inter-lingual relations between plWN and PWN synsets – are juxtaposed with the automatic prompts that were generated for the source language synsets to be mapped. We check the number and type of inter-lingual relations introduced on the basis of autom

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YAO, Yiyang, Zexing DU, Guoqing ZHOU, and Qing WANG. "Multi-spectral fusion power equipment fault recognition based on prompt learning." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 43, no. 2 (2025): 410–17. https://doi.org/10.1051/jnwpu/20254320410.

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To address the issue of weak fault recognition ability of power equipment in single-spectrum images, a multi-spectral fusion recognition method based on prompt learning is proposed. A multi-spectral imaging system is used to capture images of normal and faulty power equipment, collecting multi-spectral data including visible light, infrared, and ultraviolet. The collected dataset is annotated with text labels for training the large model. The generalization ability of the large model in power equipment fault recognition is verified, and the original large model is tested on the collected datas

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Sharma, Shantanu, and Naveed Afzal. "Revolutionizing Lead Qualification: The Power of LLMs Over Traditional Methods." International Journal of Artificial Intelligence & Applications 16, no. 2 (2025): 25–36. https://doi.org/10.5121/ijaia.2025.16204.

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This paper examines the potential of Large Language Models (LLMs) in revolutionizing lead qualification processes within sales and marketing. We critically analyze the limitations of traditional methods, such as dynamic branching and decision trees, during the lead qualification phase. To address these challenges, we propose a novel approach leveraging LLMs. Two methodologies are presented: a single-phase approach using one comprehensive prompt and a multi-phase approach employing discrete prompts for different stages of lead qualification. The paper highlights the advantages, limitations, and

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AIRCC. "Revolutionizing Lead Qualification: The Power of LLMs Over Traditional Methods." International Journal of Artificial Intelligence & Applications (IJAIA) 16, no. 2 (2025): 25–36. https://doi.org/10.5121/ijaia.2025.16204.

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This paper examines the potential of Large Language Models (LLMs) in revolutionizing lead qual- ification processes within sales and marketing. We critically analyze the limitations of traditional methods, such as dynamic branching and decision trees, during the lead qualification phase. To addressthese challenges, we propose a novel approach leveraging LLMs. Two methodologies are presented: a single-phase approach using one comprehensive prompt and a multi-phase approach employing discrete prompts for different stages of lead qualification. The paper highlights the advantages, limitations, an

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I. Nezer, Ahmed, Bashar AlEsawi, and Wisam Makki Salim. "Prompt Engineering: Unleashing the Power of Large Language Models to Defend Against Social Engineering Attacks." Iraqi Journal For Computer Science and Mathematics 5, no. 3 (2024): 404–16. http://dx.doi.org/10.52866/ijcsm.2024.05.03.024.

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Prompt Engineering is an emerging area of study that pertains to the act of conceptualizing, perfecting, and executing prompts that guide an AI model to an intended purpose. The AI model is an LLM, which they are the “hit” of our time and probably the controversial type of AI. They are capable of executing several tasks using natural language processing algorithms. Due to their ease of use and fast development, they are becoming highly dependent. We found that to interact correctly with these models and gain the best performance, several techniques should be taken into consideration. Moreover,

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Wang, Fengxiang, Wanrong Huang, Shaowu Yang, Qi Fan, and Long Lan. "Learning to Learn Better Visual Prompts." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 6 (2024): 5354–63. http://dx.doi.org/10.1609/aaai.v38i6.28343.

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Prompt tuning provides a low-cost way of adapting vision-language models (VLMs) for various downstream vision tasks without requiring updating the huge pre-trained parameters. Dispensing with the conventional manual crafting of prompts, the recent prompt tuning method of Context Optimization (CoOp) introduces adaptable vectors as text prompts. Nevertheless, several previous works point out that the CoOp-based approaches are easy to overfit to the base classes and hard to generalize to novel classes. In this paper, we reckon that the prompt tuning works well only in the base classes because of

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Zhang, Chenrui, Lin Liu, Chuyuan Wang, et al. "PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (2024): 19525–32. http://dx.doi.org/10.1609/aaai.v38i17.29924.

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As an effective tool for eliciting the power of Large Language Models (LLMs), prompting has recently demonstrated unprecedented abilities across a variety of complex tasks. To further improve the performance, prompt ensemble has attracted substantial interest for tackling the hallucination and instability of LLMs. However, existing methods usually adopt a two-stage paradigm, which requires a pre-prepared set of prompts with substantial manual effort, and is unable to perform directed optimization for different weak learners. In this paper, we propose a simple, universal, and automatic method n

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Hou, Shiyu, Tianfei Zhou, Shuai Zhang, Ye Yuan, and Guoren Wang. "Prompt Tuning In a Compact Attribute Space." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 4 (2025): 3518–26. https://doi.org/10.1609/aaai.v39i4.32365.

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Prompt tuning (PT) has emerged as a key to unlocking the power of visual-language models like CLIP for various downstream tasks. Predominant approaches learn a small set of task-relevant soft prompts by solving an image-class matching problem. Nevertheless, by optimizing merely with respect to class names, they face challenges in learning high performant prompts capable of capturing fine-grained, diverse characteristics of each class, and tends to overfit potentially biased distribution of base classes. In this work, we propose PTinCAS to tackle prompt tuning in a compact attribute space, driv

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Chan, Janet. "Unusual Suspects." Surveillance & Society 21, no. 3 (2023): 287. http://dx.doi.org/10.24908/ss.v21i3.16102.

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The use of artificial intelligence in facial recognition systems has been controversial. Among issues of concerns is the accuracy of such systems for recognising faces of non-white people. This work turns the debate on its head by showing six images of AI generated faces using identical prompts that include the words “Asian woman” and “facial recognition biometrics person technology” via Text 2 Dream in Deep Dream Generator. Rather than investigating the level of accuracy in facial recognition systems, it demonstrates how a particular AI software creates visual representation of “Asian women.”

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Shafie, Latisha Asmaak, Aidura Aiyub, and Nurul Alia Nafis Najmi. "EXPLORING THE POWER OF GENERATIVE AI: ENHANCING BUSINESS EMAIL WRITING SKILLS FOR L2 LEARNERS." International Journal of Entrepreneurship and Management Practices 7, no. 25 (2024): 198–214. http://dx.doi.org/10.35631/ijemp.725017.

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L2 learners at higher education often face difficulties in writing business emails in English, which hinder effective workplace communication and academic success. Therefore, higher education institutions should educate their learners about business email literacy. This study analysed how thirty-one business degree Malay students at a public university in Malaysia utilized generative AI tools for composing business emails. These participants presented their reflection investigation on the application of generative AI in business email writing for their group class assignment for English for Bu

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Bozkurt, Aras, and Ramesh C. Sharma. "Generative AI and Prompt Engineering: The Art of Whispering to Let the Genie Out of the Algorithmic World." Asian Journal of Distance Education 18, no. 2 (2023): i—vii. https://doi.org/10.5281/zenodo.8174941.

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The capabilities of generative AI in education, serving as a co-creator, highlight the crucial role of prompt engineering for optimal interactions between hum<strong>a</strong>n<strong>i</strong>ty and Large Language Models (LLMs) that utilize Natural Language Processing (NLP). Generative AI's potential lies in responding to well-crafted prompts, making them essential for unleashing its capabilities in generating authentic content. To optimize this process, prompt engineers, encompassing various stakeholders in education, must grasp how language nuances impact generative AI's responses

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Thibert, Dawn Louise, and Thivvia Ragunathan. "The Transformational Power of Expressive Writing." Murmurations: Journal of Transformative Systemic Practice 5, no. 2 (2022): 53–72. http://dx.doi.org/10.28963/5.2.6.

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In this paper we write about our collaboration setting up and running expressive writing groups, which became workshops, in a Child and Adolescent Mental Health service in a National Health Service in London. Thivvia was a psychiatry core trainee on placement and Dawn the lone family therapist. The idea for the group arose during lockdown when we were in the office, and in a chance corridor conversation, we discovered we shared a love of journalling and poetry. Dawn related this to narrative therapy ideas, which resonated well with Thivvia’s cultural storytelling traditions. Creativity sparked

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Delgado-Solorzano, Cecilia, Elias Tzoc, Suzanne Rook, Christopher Vinson, and Carlos Toxtli. "A Study of LLM-Powered Student Query Support." Avances en Interacción Humano-Computadora 9, no. 1 (2024): 21–25. https://doi.org/10.47756/aihc.y9i1.141.

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In this paper, we explore the use of Large Language Models (LLMs) to help students improve their information-seeking skills while encouraging the use of references to aid library literacy efforts. This study aims to expand the reach of library support by introducing an approach that leverages the capabilities of LLMs and well-structured prompts. Our approach begins with surveying the current changes students have faced in the last two years concerning their study habits and how they search for information. We subsequently propose a multi-step system prompt, referred as prompting architecture,

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Wilkinson, Krista M., and Mary Ann Romski. "Responsiveness of Male Adolescents With Mental Retardation to Input From Nondisabled Peers: The Summoning Power of Comments, Questions, and Directive Prompts." Journal of Speech, Language, and Hearing Research 38, no. 5 (1995): 1045–53. http://dx.doi.org/10.1044/jshr.3805.1045.

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The expressive communication of individuals with cognitive impairments may be directly influenced by a partner’s input, because such individuals often have limited conversational skills. Sequential analyses of dyadic interactions examined the effects of input by 32 normally developing adolescents on responses by male subjects with mental retardation whose communication modes included augmented communication. Results suggested that (a) verbal prompts in the form of questions were significantly more likely to receive responses from subjects with mental retardation than directive prompts, (b) com

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Keenan, James. "Vulnerability, Conscience, and Integrity." De Ethica 8, no. 1 (2024): 10–24. http://dx.doi.org/10.3384/de-ethica.2001-8819.248110.

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This essay explores how vulnerability, understood not as precarity but as capacious responsiveness, much as the Philosopher Judith Butler identifies it, and recognition are key moral concepts that are prior conditions for the expression of conscience. Appreciating Thomas Aquinas' argument that conscience is neither a power or a habit, but rather an act, the essay argues that Aquinas' inclination synderesis, that prompts us to the good and away from evil, functions in a way similar to vulnerability. Fundamentally, vulnerability prompts us to recognize the neighbor who needs our response.

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Ganie, Rohani, T. Silvana Sinar, Fikry Prastya Syahputra, and Afryna Veronica. "Prompt writing and linguistic-syntax collaboration in power-writing AI utilization to assist introduction writing." Multidisciplinary Science Journal 7, no. 10 (2025): 2025341. https://doi.org/10.31893/multiscience.2025341.

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The literacy level in Indonesia is relatively low. Therefore, there is a need for research aimed at increasing literacy in Indonesia. This research aims to explore the application of prompt writing techniques in the context of artificial intelligence (AI) to improve literacy. The writing prompt technique involves composing a short statement or question that stimulates critical thinking, analysis, and reflection on a topic. In the context of AI, this technique can be applied to develop interactive tools that help improve reading and writing comprehension in students and teachers. Students who m

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Campbell, Elaine. "The Emotional Life of Governmental Power." Foucault Studies, no. 9 (September 1, 2010): 35. http://dx.doi.org/10.22439/fs.v0i9.3057.

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This paper explores the emotional life of governmental power through the affective domains of confidence and respect in criminal justice, in the context of a climate of insecurities and uncertainties with existing modes of governance. The paper problematises some of the key tenets of the governmentality thesis and questions its core assumptions about forms of rationality, processes of subjectivation and the conditions of possibility for ethical conduct. It also prompts us to reconsider the tenets of contemporary neo-liberal governance, its “rationalities of rule,” technologies and apparatuses,

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Qin, Xingguo, Ya Zhou, and Jun Li. "Multi-Modal Emotion Recognition for Online Education Using Emoji Prompts." Applied Sciences 14, no. 12 (2024): 5146. http://dx.doi.org/10.3390/app14125146.

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Online education review data have strong statistical and predictive power but lack efficient and accurate analysis methods. In this paper, we propose a multi-modal emotion analysis method to analyze the online education of college students based on educational data. Specifically, we design a multi-modal emotion analysis method that combines text and emoji data, using pre-training emotional prompt learning to enhance the sentiment polarity. We also analyze whether this fusion model reflects the true emotional polarity. The conducted experiments show that our multi-modal emotion analysis method

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Lorey, Isabell. "Constituent power of the multitude." Journal of International Political Theory 15, no. 1 (2018): 119–33. http://dx.doi.org/10.1177/1755088218808308.

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How might we understand a constituent power that is thought not as constitutively juridical but nevertheless as a political power, one that issues from the heterogeneous multitude and develops its collective potentia not by its number but rather in its polyvocality? Such an alternative conception would need to leave gendered connotations, the idea of a masculinist bourgeois subject, and questions of belonging behind. It would need to issue radically from the mutual connectedness of singularities and, against the backdrop of queer-feminist and postcolonial considerations, place the necessity of

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Pazzaglia, Federica, Maeve Farrell, Karan Sonpar, and Pablo Martin de Holan. "Keeping up with the Joneses: Industry rivalry, commitment to frames and sensemaking failures." Human Relations 71, no. 3 (2017): 427–55. http://dx.doi.org/10.1177/0018726717719993.

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Drawing on a qualitative study of the banking crisis in Ireland, we examine how a cognitive frame of environmental conditions that is shared among industry rivals constrains their ability to act on the cues of slowly incubating threats. We find that shared frames are reinforced through social comparisons that prompt imitation and through their enactment that prompts a reconfiguration of internal control structures and power relationships. The reinforcement of a shared frame dulls the emerging cues of changing market conditions and weakens perception of the risks of staying the course. A core c

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Li, Yumeng, Bohong Chen, Zhong Ren, et al. "CPoser: An Optimization-after-Parsing Approach for Text-to-Pose Generation Using Large Language Models." ACM Transactions on Graphics 43, no. 6 (2024): 1–13. http://dx.doi.org/10.1145/3687932.

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Text-to-pose generation is challenging due to the complexity of natural language and human posture semantics. Utilizing large language models (LLMs) for text-to-pose generation is appealing due to their strong capabilities in text understanding and reasoning. However, as LLMs are designed for general-purpose language processing and not specifically trained for pose generation, it remains nontrivial to generate precise articulation targets for the full body using LLMs directly. To this end, we propose CPoser, a novel approach to harness the power of LLMs for text-to-pose generation, featuring a

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Betancourt, Manuel. "The Radical Power of Gentle Cinema." Film Quarterly 76, no. 4 (2023): 80–83. http://dx.doi.org/10.1525/fq.2023.76.4.80.

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Film Quarterly contributing editor Manuel Betancourt’s experience serving on the jury for the Ibero-American program at the Palm Springs International Film Festival prompts him to consider how films labeled “small” or “quiet” don’t tend to win prizes and how this bias is gendered, reflecting the lack of value accorded to domestic, everyday life. Citing the recent ascendance of Chantal Akerman’s Jeanne Dielman, 23, quai du Commerce, 1080 Bruxelles to the top of Sight and Sound’s annual poll as a sign this bias may be weakening, he discusses a number of festival favorites—including the Venezuela

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S, Mrs Lokeshwari H., Mr Shubas S. R, Rachana K. N, Poorvika R, and Sanju G. P. "Advanced Footstep Power Generation System Using RFID for Charging." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3719–23. https://doi.org/10.22214/ijraset.2025.69085.

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Abstract: Along with the nation's growing population, there is a growing need for power in many different ways. Therefore, the main way to meet future demands is to reorganize this energy so that it can be utilized again. Power is produced by human footsteps in this project for the generation of footstep power, so as well as to store the electricity produced by piezo sensors to charge the battery. utilizing an RFID card, mobile phones are charged utilizing the battery's stored power. The ESP32 microcontroller powers this project, which also have an LCD, RFID sensor, USB cable, and Arduino IDE.

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Han, Liang, Wen Zhou Lu, Yong Ming Liu, Jian Shen, Ya Fei Hao, and Feng Xiao. "A Study and Discussion on Defects Classification of Electrode Coating of Li-Ion Power Battery." Applied Mechanics and Materials 380-384 (August 2013): 4364–67. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4364.

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The serious pollution of lead-acid battery and nickel-cadmium battery prompts the Li-ion power battery to become the new alternative battery. As the main body of the Li-ion power battery, the electrode has a great influence on performance of the battery. Thus it is necessary to classify, analyze and research the defects of the battery electrode precisely. Combining with the practical situation of production, in this paper the characteristics of the electrode defects of Li-ion Power battery are described in detail and morphological characteristics are analyzed, which is helpful to the subsequen

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Ghosh, Akash, Debstuti Biswas, Rahul Sarkar, Advait Pillai, and Jatin Chopra. "Navigating GPT-4 and BERT: A Dual Perspective on Financial and Political Sentiment Analysis." International Journal for Research in Applied Science and Engineering Technology 11, no. 12 (2023): 1577–83. http://dx.doi.org/10.22214/ijraset.2023.57687.

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Abstract: This research delves into the dynamic capabilities of large language models (LLMs) by combining insights from two distinct studies. The first study, "Linking Microblogging Sentiments to Stock Price Movement: An Application of GPT-4," explores the efficacy of the GPT-4 Language Learning Model (LLM) compared to BERT in modeling same-day daily stock price movements for Apple and Tesla in 2017. The study leverages sentiment analysis of microblogging messages from the Stocktwits platform and employs a novel method for prompt engineering, emphasizing the contextual abilities of GPT-4. Logi

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Ahalya, C., M. Vasavi, M. Prathyusha, S. Sania Afrin, and S. Sravani. "Footstep Power Generation using Piezo Electric Sensors." Journal of Power Electronics and Devices 8, no. 2 (2022): 20–25. http://dx.doi.org/10.46610/joped.2022.v08i02.004.

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The country's population is growing, and as a result, so is the demand for electricity. The amount of energy squandered is also rising in many different ways simultaneously. The primary approach is to regenerate this energy in a form that can be used. In this project, human footsteps are used to generate electricity, which is then used to recharge the battery. A battery that can be used to charge electronic gadgets stores the power. The Atmega 328 processor powers this system, which also includes an Arduino IDE, an RFID sensor, a USB cable, and an LCD. The system goes into registration mode wh

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Pratik, Gavhane, Kamble Shridhar, Lonkar Shubham, Choudhari Yash, and P. Kedia C. "Web Application based Electric Load Forecasting using Machine Learning." Journal of Web Development and Web Designing 5, no. 1 (2020): 8–11. https://doi.org/10.5281/zenodo.3726606.

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<strong>The motivation behind the momentary power de-mand expectation is to conjecture ahead of time the framework load. Force request gauging is significant for financially proficient activity and compelling control of intensity frameworks and empowers to design the heap of creating unit. An exact burden determining is required to keep away from high age cost and the turning save limit. Under-forecast of the requests prompts a lacking store limit readiness and can compromise the framework security, then again, over-expectation prompts a superfluously enormous hold that prompts a significant e

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Soumyajit, Mitra, Kumar Pandaraboyana Dheeraj, Arulvendhan K., and Dilli Srinivasan J. "HVDC in Indian Power Sector." International Journal of Recent Technology and Engineering (IJRTE) 8, IS4 (2019): 509–15. https://doi.org/10.5281/zenodo.3345684.

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India is going through a phase of modernization that has given way to growing demand for electrical energy. The wave of modernization has ushered in a emerging industrial sector that has heightened the demand for electricity. In addition, 99.7% of household in India has been electrified which is a remarkable feat considering India has a population of 1.3 billion but it has further elevated the demand. Usually the generation plant is located at a remote area far from the centers of urbanization where the demand as it happens is highest. So a lot depends on transmission which plays a key role in

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Zhang, Yin Jun, Zheng Jie Lu, Jian Bo Nie, and Hao Ran Wang. "Design of Intelligent Garbage Can." Applied Mechanics and Materials 741 (March 2015): 19–22. http://dx.doi.org/10.4028/www.scientific.net/amm.741.19.

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Due to the current existing outdoor trash put, cannot effectively separate collection, easy to produce odor and other issues, In this paper we designed a solar intelligent trash. The trash can has a better appearance, can effectively separate collection, automatic flip, the use of solar power to achieve lighting, voice prompts, deodorant and other functions. Smart trash concise design, environmental protection, and harmony.

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SILLIN, SARAH. "American Sympathizers: Confessing Illicit Feeling from the Civil War to the Vietnam War." Journal of American Studies 53, no. 3 (2018): 613–35. http://dx.doi.org/10.1017/s0021875818000026.

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Portraits of sympathizers recur across American literature, from nineteenth-century narratives by Edward Everett Hale Jr., Loreta Velazquez, and Walt Whitman to Viet Thanh Nguyen's twenty-first-century novel. Together, their texts elucidate why this understudied trope remains provocative. Whereas nineteenth-century literature often imagines how sympathy fosters national cohesion, feeling for the enemy threatens such stability and prompts government efforts to regulate sentiment. Sympathizers may perform loyalty to claim the authority associated with white masculinity. Yet they also gain power

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Zhou, Tingshan, Qian Li, Yufeng Xu, Yizheng Zhao, Deming Liu, and Dong Liu. "An AC-DC Coordinated Scheme for Cascaded Hybrid High-Voltage Direct Current to Suppress Wind Power Fluctuations." Electronics 13, no. 14 (2024): 2847. http://dx.doi.org/10.3390/electronics13142847.

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Given power fluctuations from near-land offshore wind farms, this article designs a coordinated control strategy for cascaded hybrid DC transmission. To suppress the frequency disturbances when wind power varies, supplementary active power control schemes are proposed, in which the coordinated DC voltage control strategy is also considered in order to keep DC voltage stable when the supplementary control prompts a voltage-sourced converter overload. Simultaneously, to further improve wind farm-side AC voltage stability, a dynamic limiter is added in the coordinated control, which can make a vo

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Han, Liang, Yong Ming Liu, and Feng Xiao. "A Study on Key Technology of Automatic Inspection Equipment of Electrode Defects of Li-Ion Power Battery." Applied Mechanics and Materials 380-384 (August 2013): 1081–84. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1081.

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The serious pollution of lead-acid battery and nickel-cadmium battery prompts the Li-ion power battery to become the new alternative battery. As the main component of the Li-ion power battery, the electrode has a great influence on performance of the battery. It is necessary to design an automatic equipment to inspect the electrode defects of Li-ion power battery. This paper designs a new equipment, in which machine vision is used to inspect the defects of the electrode, PLC to control, Geneva mechanism to drive the transforming of steps and complete the motion of putting the electrode on and

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Gal, Rinon, Or Patashnik, Haggai Maron, Amit H. Bermano, Gal Chechik, and Daniel Cohen-Or. "StyleGAN-NADA." ACM Transactions on Graphics 41, no. 4 (2022): 1–13. http://dx.doi.org/10.1145/3528223.3530164.

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Can a generative model be trained to produce images from a specific domain, guided only by a text prompt, without seeing any image? In other words: can an image generator be trained "blindly"? Leveraging the semantic power of large scale Contrastive-Language-Image-Pre-training (CLIP) models, we present a text-driven method that allows shifting a generative model to new domains, without having to collect even a single image. We show that through natural language prompts and a few minutes of training, our method can adapt a generator across a multitude of domains characterized by diverse styles

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Steinhauer, Kimberly. "The Estill Voice Model: A paradigm for voice training and treatment." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A352—A353. http://dx.doi.org/10.1121/10.0023770.

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For over 40 years, the Estill Voice Model (EVM) has defined voice quality according to movement of anatomy and physiology. EVM addresses the daunting degrees of freedom issue in voice motor control by isolating Craft of voice production from Artistry and Performance Metaphysics. The EVM proposes an integrated implicit-explicit approach for voice motor learning that flows through all training and therapy protocols. Implicit instructions include auditory-perceptual prompts (e.g., quack like a duck to produce “twang”) and explicit prompts train physiologic conditions of the vocal anatomy correlat

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Evans-Agnew, Robin A., Marie-Anne S. Rosemberg, and Doris M. Boutain. "Emancipatory Photovoice Research: A Primer." Health Promotion Practice 23, no. 2 (2022): 211–20. http://dx.doi.org/10.1177/15248399211062906.

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Photovoice can be more than a research method for communities to identify and mitigate social oppressions. Photovoice has the potential for emancipatory outcomes and the transformation of power relations. This article serves as a primer for beginning researchers who are new to the emancipatory power of the photovoice method or for advanced researchers who would like to re-imagine their current use of the photovoice method to an emancipatory approach that elevates and empowers. Our purpose is to provide a framework for deciding structures, processes, and outcomes of emancipatory photovoice. We

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Pârvulescu, Constantin. "Screenwriting, Industry, and Power. Review of Steven Maras Scenariul De Film. Istorie, Teorie Și Practică." CONCEPT 28, no. 1 (2024): 173–79. http://dx.doi.org/10.37130/93ab8416.

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The review explores the translation and significance of Steven Maras’s Screenwriting: History, Theory, and Practice into Romanian, emphasizing its relevance within the global academic and filmmaking landscape. Maras’s theoretical approach, influenced by Foucault and cultural studies, offers insights applicable beyond Hollywood, including to Romanian filmmaking practices. Despite differences between Hollywood and Romanian cinema, Maras’s work prompts critical reflection on power dynamics, institutional influences, and the visibility of screenwriters. It aids teaching by focusing it towards unde

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Sabbatella, Antonio, Andrea Ponti, Ilaria Giordani, Antonio Candelieri, and Francesco Archetti. "Prompt Optimization in Large Language Models." Mathematics 12, no. 6 (2024): 929. http://dx.doi.org/10.3390/math12060929.

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Prompt optimization is a crucial task for improving the performance of large language models for downstream tasks. In this paper, a prompt is a sequence of n-grams selected from a vocabulary. Consequently, the aim is to select the optimal prompt concerning a certain performance metric. Prompt optimization can be considered as a combinatorial optimization problem, with the number of possible prompts (i.e., the combinatorial search space) given by the size of the vocabulary (i.e., all the possible n-grams) raised to the power of the length of the prompt. Exhaustive search is impractical; thus, a

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Gautam, Bijaya. "Critiques of Development using Foucault’s Discourse and Power Theory." Journey for Sustainable Development and Peace Journal 2, no. 1 (2024): 82–94. http://dx.doi.org/10.3126/jsdpj.v2i1.63253.

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Analyzing the modern development program through Michel Foucault's theory of discourse and power provides insights into its origins and shortcomings. This research aims to critique modern development theory in terms of Foucault’s theory of discourse and power. Development, and modern development theory as well as Escobar’s articles about the implementation of Foucault’s theory were studied. The research found that the discourse surrounding development serves as a means of exerting power and control, often driven by the interests of dominant nations. However, despite ambitious promises, develop

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Jeetu, Raj, Rehan Akhtar Muzaffar, Kumar Shishu, and Laiq Muazzam. "Dual Power Generation from Solar Energy and Wind Energy." Journal of Recent Trends in Electrical Power System 3, no. 3 (2020): 1–6. https://doi.org/10.5281/zenodo.4080773.

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<em>Now days, for the human being electricity is most facility. All the conventional energy resources are depleting day by day. So we have to shift from conventional to non-conventional energy resources. In this the mixture of two energy resources happens for example wind and solar energy. This process reveals the sustainable energy resources without causing any harm to the nature. By using dual energy system, we can give uninterrupted power. Essentially this system includes the incorporation of two energy system that will provide constant power. Wind turbines are used for converting wind ener

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Ke, Hong Chang, Hui Wang, and De Gang Kong. "A Wind Power Forecasting Method Based on Improved Support Vector Machine." Applied Mechanics and Materials 556-562 (May 2014): 1964–67. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1964.

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For the deficiencies of traditional wind forecasting method, a wind forecasting method based on improved support vector machine which support any parameters input. The method can compatible with many different types and magnitude data and construct a loop iteration mechanism, based on the wind farm's own situation which constantly prompts to enter the wind speed, season, temperature, humidity, light until it reaches the desired accuracy. For wind power consumptive capacity, the method proposed can obtain the maximum, minimum wind parameters and the range of variation, diverse support vector ma

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Khanolainen, Daria, and Elena Semenova. "School Bullying Through Graphic Vignettes: Developing a New Arts-Based Method to Study a Sensitive Topic." International Journal of Qualitative Methods 19 (January 1, 2020): 160940692092276. http://dx.doi.org/10.1177/1609406920922765.

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The purpose of this study was to develop a new arts-based measure assessing school bullying and to test it within a pilot study involving 19 schoolchildren (mean age = 15.4; range = 1.00). The researchers designed the new methodological tool (referred to as graphic vignettes) as a set of incomplete comic strips, which participants were asked to complete in a creative way. Researchers then invited participants to engage in follow-up interviews using completed comic strips as individualized interview prompts. The authors detail the design and administration of the graphic vignettes and discuss t

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Kalargirou, Anna, Dimitrios Kotsifakos, and Christos Douligeris. "The Impact of Ancient Greek Prompts on Artificial Intelligence Image Generation: A New Educational Paradigm." AI 6, no. 4 (2025): 81. https://doi.org/10.3390/ai6040081.

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Background/Objectives: This article explores the use of Ancient Greek as a prompt language in DALL·E 3, an Artificial Intelligence software for image generation. The research investigates three dimensions of Artificial Intelligence’s ability: (a) the sense and visualization of the concept of distance, (b) the mixing of representational as well as mythic contents, and (c) the visualization of emotions. More specifically, the research not only investigates AI’s potentialities in processing and representing Ancient Greek texts but also attempts to assess its interpretative boundaries. The key que

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Breuning, Marijke, and Anna Pechenina. "Role Dissonance in Foreign Policy: Russia, Power, and Intercountry Adoption." Foreign Policy Analysis 16, no. 1 (2019): 21–40. http://dx.doi.org/10.1093/fpa/orz004.

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Abstract States often play multiple roles on the world stage, which need not fit together coherently. Moreover, foreign policy roles may be dissonant with one another: auxiliary roles may detract from the state's master role or status. What prompts decision makers to address role dissonance and role conflict? Building on earlier role theory research, we develop a framework that theorizes when and how role dissonance turns into conflict between a state's master and auxiliary foreign policy roles. We theorize that role conflict may be addressed through modification rather than abandonment of an

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Wang, Ping, Bin Chen, Guo Dong Su, and Bing Jie Chen. "Realization of Electronic Scoring Device on Ball Games." Advanced Materials Research 765-767 (September 2013): 2460–63. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2460.

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Aim to the current popularity of various sports which scoring device is inconvenient and defective scoring, this design uses 51 MCU control, battery power, digital display, input keys and wireless control module to develop a portable smart match electronic scoring device. The device has a charging indicator, ball selection, single-sided display settings, size of the Bureau of scores shows that beep audio prompts, change sides scores mobile, long distance remote control and other functions; particularly compact and portable, which one could keep working dozens of hours without any power, and yo

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Timsi and Dr Naresh Kumar Yadav. "Harmonics Distortion in Distribution Systems: A Review of Non–Linear Load Effects and Solutions." International Journal of Enhanced Research In Science Technology & Engineering 13, no. 08 (2024): 90–95. http://dx.doi.org/10.55948/ijerste.2024.0810.

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Alinear load shows current corresponding to the applied voltage, while a "non-linear" load has varying impedance with voltage, prompting non-sinusoidal current in any event when associated with sinusoidal voltage. Harmonic current in non-sinusoidal current blends in with power distribution framework impedance, causing voltage distortion affecting both the framework and associated loads. Expanded utilization of power electronics and time-changing nonlinear loads in industry prompts serious electrical cable contamination, corrupting power supply quality, and effectiveness, and causing overheatin

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Dickinson, Kristin. "Queer Spectrality and the Hope of Heterolingual Address." New German Critique 50, no. 3 (2023): 25–35. http://dx.doi.org/10.1215/0094033x-10708251.

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This article reads the final moment of Fatma Aydemir’s 2022 novel, Dschinns, as an instance of heterolingual address, which provides an alternative to the progressive logic of assimilation in both Germany and Turkey and the cyclicality of transgenerational trauma. Opening out onto the possibility of a forthcoming counter-address marked by queer spectrality, the novel prompts readers to engage in an open-ended process of community formation by rethinking their own modes of address and the myriad power structures that undergird them.

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Fernandes, Daniel, João P. Matos-Carvalho, Carlos M. Fernandes, and Nuno Fachada. "DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 Generate Correct Code for LoRaWAN-Related Engineering Tasks." Electronics 14, no. 7 (2025): 1428. https://doi.org/10.3390/electronics14071428.

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This paper investigates the performance of 16 Large Language Models (LLMs) in automating LoRaWAN-related engineering tasks involving optimal placement of drones and received power calculation under progressively complex zero-shot, natural language prompts. The primary research question is whether lightweight, locally executed LLMs can generate correct Python code for these tasks. To assess this, we compared locally run models against state-of-the-art alternatives, such as GPT-4 and DeepSeek-V3, which served as reference points. By extracting and executing the Python functions generated by each

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Mishrra, Shillpi, Anup Kumar Barman, and Apurbalal Senapati. "Hate content detection through prompt engineering : A pioneering attempt." Journal of Information and Optimization Sciences 46, no. 1 (2025): 107–19. https://doi.org/10.47974/jios-1856.

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The detection of hate speech is a difficult task and an active study subject at the moment. Effective hate speech identification is more important than ever in a time when a sizable section of the populace uses social media to express their emotions, feelings, rage, and anxiety as well as to look for protection. Conventional approaches to detecting hate content typically rely on hate-related keywords or utilize a labelled dataset to train a learning model. However, hate speech often stands out more due to its context. Conversely, training a learning model requires a substantial amount of label

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