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Artículos de revistas sobre el tema "Which amazfit watch is best"

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Publicado: 25 de julio de 2024

Última modificación: 31 de julio de 2025

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Chase, Jo-Ana, Chelsea Howland, Malaika Gallimore, and Blaine Reeder. "Usability and Feature Evaluation of the Amazfit Bips Smart Watch in the Precision START Lab." Innovation in Aging 4, Supplement_1 (2020): 196. http://dx.doi.org/10.1093/geroni/igaa057.634.

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Abstract Interventions utilizing consumer-grade wearable and mobile devices may support older adult health and wellness. However, rapid technology change and short industry product release cycles limit timely incorporation of these devices. We developed a novel, multi-stage process to rapidly move from within-team evaluations to lab- and field-based participants studies based on small-sample technology testing methods from Human-Computer Interaction. We present findings from a first-stage evaluation of the Amazfit Bips smart watch for potential use in studies with older adults as part of the m

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Düking, Peter, Marie Tafler, Birgit Wallmann-Sperlich, Billy Sperlich, and Sonja Kleih. "Behavior Change Techniques in Wrist-Worn Wearables to Promote Physical Activity: Content Analysis." JMIR mHealth and uHealth 8, no. 11 (2020): e20820. http://dx.doi.org/10.2196/20820.

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Background Decreasing levels of physical activity (PA) increase the incidences of noncommunicable diseases, obesity, and mortality. To counteract these developments, interventions aiming to increase PA are urgently needed. Mobile health (mHealth) solutions such as wearable sensors (wearables) may assist with an improvement in PA. Objective The aim of this study is to examine which behavior change techniques (BCTs) are incorporated in currently available commercial high-end wearables that target users’ PA behavior. Methods The BCTs incorporated in 5 different high-end wearables (Apple Watch Ser

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Song, Jinzhong, Tianshu Zhou, Zhonggang Liang, et al. "Electrochemical Characteristics Based on Skin-Electrode Contact Pressure for Dry Biomedical Electrodes and the Application to Wearable ECG Signal Acquisition." Journal of Sensors 2021 (September 15, 2021): 1–9. http://dx.doi.org/10.1155/2021/7741881.

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Based on one simulated skin-electrode electrochemical interface, some electrochemical characteristics based on skin-electrode contact pressure (SECP) for dry biomedical electrodes were analysed and applied in this research. First, 14 electrochemical characteristics including 2 static impedance (SI) characteristics, 11 alternating current impedance (ACI) characteristics and one polarization voltage (PV), and 4 SECP characteristics were extracted in one electrochemical evaluation platform, and their correlation trends were statistically analysed. Second, dry biomedical electrode samples develope

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Andi Suhendi, Acep. "IMPLEMENTATION OF BLUE OCEAN STRATEGY (BOS) AT PT. ANEKA DIGITAL SUKSESINDO IN THE EFFORT TO INCREASE THE COMPETITIVE ADVANTAGE AGAINST THE COMPETITORS." Dinasti International Journal of Economics, Finance & Accounting 1, no. 3 (2020): 413–20. http://dx.doi.org/10.38035/dijefa.v1i3.420.

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The increasing competition in the business world requires a company to always make transformation not only to meet the company's targets but also for business sustainability or survival. The similar thing happened with PT.Aneka Digital Suksesindo which is one of the PMA (Foreign Investment Company) from China which is engaged in the distribution of electronic products made in China which is always innovating in order to maintain its existence in Indonesia. Some of its superior products are 1. Black Shark which is mobile gaming that offers maximum performance. It is a smart phone which is able

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Dalimunthe, Dzakiyyatul Kirom, and Raden Bagus Fajriya Hakim. "APPLICATION OF RANDOM FOREST ALGORITHM ON WATCH PRICE PREDICTION SYSTEM USING FRAMEWORK FLASK." BAREKENG: Jurnal Ilmu Matematika dan Terapan 17, no. 1 (2023): 0171–84. http://dx.doi.org/10.30598/barekengvol17iss1pp0171-0184.

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In the modern era like today, watches not only function as timepieces, but have become a fashion trend for the community, especially teenagers. The increasing market demand for watches opens up opportunities for counterfeit watch sellers to sell their products by claiming that the watches they sell are genuine watches by offering relatively cheaper prices compared to genuine watches. This is very detrimental to consumers and also the watch industry. To minimize fraud committed by fake watch sellers, it is necessary to know the price of the original watch in advance, before buying the desired w

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Anang Furkon RIfai and Erwin Budi Setiawan. "Memory-based Collaborative Filtering on Twitter Using Support Vector Machine Classification." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 4 (2022): 624–31. http://dx.doi.org/10.29207/resti.v6i4.4270.

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Nowadays, watching films at home is one of people's entertainment. Netflix is a service provider for watching films and provides many types of film genres. However, of the many films available, it makes users confused to choose which film to watch first. The solution to the problem is a system that provides recommendations for the best films to watch based on user ratings. Twitter is still people's favorite social media to express their feelings, thoughts, and criticisms. In this system, tweets serve as input data that will be processed into data with rating values. This research implemented a

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Anang Furkon RIfai and Erwin Budi Setiawan. "Memory-based Collaborative Filtering on Twitter Using Support Vector Machine Classification." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 5 (2022): 702–9. http://dx.doi.org/10.29207/resti.v6i5.4270.

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Nowadays, watching films at home is one of people's entertainment. Netflix is a service provider for watching films and provides many types of film genres. However, of the many films available, it makes users confused to choose which film to watch first. The solution to the problem is a system that provides recommendations for the best films to watch based on user ratings. Twitter is still people's favorite social media to express their feelings, thoughts, and criticisms. In this system, tweets serve as input data that will be processed into data with rating values. This research implemented a

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Paul, Chiranjib, and P. K. Das. "A Machine Learning-Driven Movie Performance Prediction System to Improve Decision-Making Capability of Movie Investors." Journal of Management and Humanity Research 08 (2022): 57–75. http://dx.doi.org/10.22457/jmhr.v08a062254.

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Moviegoers refer to online audience movie ratings before deciding to watch a movie. They are more inclined to watch a movie with a high average rating. We develop a system to predict average audience movie ratings based on the lead cast and crew at an early stage of movie production. After valuing multiple scenarios, investors can use our study to select the lead cast and crew objectively. Judicious selection of the key cast and crew is extremely important as investors commit to large sums of money as professional fees while signing contracts with them. Our study uses a relatively large sample

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Ranjitha, B. R. "Recommendation System for Movie Cast and Crew using Datamining Algorithm." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1495–97. https://doi.org/10.35940/ijeat.D7522.049420.

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In this article, the data mining algorithms like apriori algorithm is used to suggest the best cast and crew to make a particular genre of movies so that the movie is successful. The data of cast and crew is extracted for which the users have given high average ratings and apply apriori algorithm to give recommendation. There are recommendation systems which gives the recommendation to the users so that the users can watch movies in which they are interested in. But there are no recommendation systems which gives the right information which is helpful for movie making. It is important to make

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Mali, Mahesh, Dhirendra Mishra, and M. Vijayalaxmi. "Bi-clustering based recommendation system." Journal of Information and Optimization Sciences 45, no. 4 (2024): 1029–39. http://dx.doi.org/10.47974/jios-1625.

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Users in the new age have countless choices of movies to watch, which creates the need for recommendation algorithms that will suggest a list of the best movies. The Recommendation algorithms will help users select the best movie to watch based on their personal choices and movie features. The first challenge among researchers is to find the most suitable dataset for the evaluation of recommendation algorithm performance. The work in the paper introduced a new MFRISE dataset to fulfil this challenge partially. The dataset is constructed using social data like Wikipedia, YouTube and other web s

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Gupta, Gaurav, and Atul Dattatrya Newase. "HYBRID RECOMMENDATION SYSTEM FOR BETTER MINING RULES GENERATION OF USER AND CONSUMER DATA." BSSS journal of computer 12, no. 1 (2021): 49–57. http://dx.doi.org/10.51767/jc1206.

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In today’s world Data and information playing an important role in each field including online and software data. However, it is very difficult task to abstract & sorted consumer data for use. To solve this data overloading and sorting of useful data a Hybrid Recommendation System (HRS) comes into existence. The focus of HRS is to suggest the best applicable and useful items to the related customers or user. The recommendations can be applied to decision-making processes, like which types of things to get, which new videos to watch to, which online latest games and software to search, or w

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Muhadzdzib Ramadhan, Muhammad Tsaqif, and Erwin Budi Setiawan. "Netflix Movie Recommendation System Using Collaborative Filtering With K-Means Clustering Method on Twitter." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 4 (2022): 2056. http://dx.doi.org/10.30865/mib.v6i4.4571.

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Nowadays, the development of technology is very rapid, so watching movies at home has become a means of entertainment. Netflix is one of the platforms for watching movies and provides various movie titles. However, because of the many movie titles, it makes it difficult for users to determine the movie they want to watch. The solution to this problem is to provide a recommendation system that can provide movie recommendations to watch. Collaborative filtering is a method that exists in the recommendation system by providing recommendations based on the ratings given by other users. Collaborati

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Ghaffour, Mohamed. "An Eyewitness Account: Considering Facebook Watch to Cultivate EFL Learners' Intercultural Competence." International Journal of Language Teaching and Education 8, no. 1 (2024): 41–58. https://doi.org/10.22437/ijolte.v7i2.20117.

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Intercultural competence (IC) is a salient element that EFL students should possess to communicate effectively and appropriately in today's world. (Byram, 1997) Scholars differed on what constitutes IC, however, there is somehow a consensus that an intercultural speaker is an individual that possesses intercultural knowledge, intercultural attitudes, and intercultural behaviors. Drawing on a long experience in Facebook, this paper discusses how we can utilize Facebook watch feature as a mobile technology tool to aid EFL learners in developing intercultural competence. Following an experience-d

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Bagane, Pooja, Sudhanshu Gonge, Rahul Joshi, and Obsa Amenu Jebessa. "Automotive Movie Recommendation System based on Natural Language Processing." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 5 (2023): 300–303. http://dx.doi.org/10.17762/ijritcc.v11i5.6617.

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People are puzzled about which movie to watch these days because there are so many movies available on various OTT platforms. A recommender system would solve this problem by recommending the best movie to the user based on his genre, actor, director, and rating preferences. The cosine similarity principle would be used to guide the recommendation system. Apart from that, we will use the Tfidftransformer and count vectorizer from the sci-kit-learn library in Python in this work. In this study work, all of the approaches' constraints have been described. All of this work was done using datasets

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Nawaz, Shoaib, Muhammad Rizwan, Samina Yasin, Mehtab Ahmed, and Umar Farooq. "Multi-Class Classification of the YouTube Comments using Machine Learning." Pakistan Journal of Engineering and Technology 3, no. 2 (2022): 183–88. http://dx.doi.org/10.51846/vol3iss2pp183-188.

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Due to huge data on Social media the people face difficulty to finding in qualitative content of the video if they find the qualitative content as per their judgment and knowledge, they do not confirm the actual content quality. People put their idea and subscriber watch the videos and put their feedback in the comments. Our purposed study help the subscribers to find the best-experienced idea based on the people personal experience here we classify the collection of comments collected using Google API’s(“Google API YouTube” n.d.) and annotate them in different classes which are Experience-pos

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Sato, Kohei, Masaru Sugano, Hitomi Murakami, and Atsushi Koike. "Key Frame Detection Method from News Program using Common Features to News Topics." ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, no. 2 (2011): 308–14. http://dx.doi.org/10.37936/ecti-eec.201192.172512.

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A hard disk drive and a flash memory have become high capacity, so that we are now in the situation where a lot of TV programs can be recorded. However, while convenient, it is not easy to watch all the recorded programs in a limited time. Therefore, an efficient TV browsing application is needed. In this paper, we propose a key frame detection method for TV news program to allow a viewer to efficiently browse TV news programs and/or particular TV news topics. Instead of using features specific to certain news topics, our proposal is to extract important features which are common to news topic

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Singh, Abhay Pratap, Mukul Sharma, Ashish Chauhan, and Kamal Soni. "Build a Recommendation System for Movies or Books." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 1379–82. http://dx.doi.org/10.22214/ijraset.2023.50303.

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Abstract: These days everyone will change their life style to search the movies on the internet. They will provide the information of their preferences which the y like to watch. There are many recommended and popular system is applied to search their favorite things like books, articles music videos, movies etc. these paper we are proposed a movie recommendation system. It will be working on the various filter or collaborate filter method that will collect and gave the information to the user and it will also analyzes the user and gave them the best movies to there users at that time. We sort

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Mr.Naveen, Kumar*1 &. N. Sai Vinuthna.J2. "IDENTIFYING THE QUALITY OF PRODUCT BASED ON CLASSIFICATION OF OPINIONS." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 8 (2018): 11–15. https://doi.org/10.5281/zenodo.1326470.

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Everyone depends on the opinions or reviews of the users to purchase the product or to watch the movies. Most of the people want to purchase the product with high quality and best services from organization. We can know the quality of the product based on the opinions of the user who used that product. In this paper we are focusing on the classification of review and ratings of the product which are given by the user. We present a technique called content based classification and opinion mining. Opinions can be classified into three parts such as positive, negative and neutral opinions. This t

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Ashar, Muhammad Adam, Fuad Muhajirin Farid, and Selvi Annisa. "PENGARUH PERFORMA VIDEO TERHADAP JUMLAH VIEWS VIDEO REGULER DI YOUTUBE MENGGUNAKAN ANALISIS JALUR." RAGAM: Journal of Statistics & Its Application 2, no. 1 (2023): 82. http://dx.doi.org/10.20527/ragam.v2i1.10042.

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YouTube is a video-sharing website which is one of the media for deployment information that is of great interest to the public in Indonesia. Being the most visited website in the world, YouTube has had a significant impact on modern society. Many people in Indonesia have utilized YouTube as a platform to share their thoughts and creativity through the video they create, as well as to make income. Creative content will usually get more responses from the audience. Creating a regression model for use in path analysis enables the investigation of causal links between various variables. The inten

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Roberts, Bill. "‘Teaching’ Practicing." Practicing Anthropology 28, no. 1 (2006): 44. http://dx.doi.org/10.17730/praa.28.1.t0600510452t8470.

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The introduction to this issue states that this is a different style PA issue, and so this iteration of Teaching Practicing follows in the same spirit. Learning to practice anthropology is based on experience. If experience is the best teacher, then our over-riding question should be, "how can we best help our students learn lessons about the world of practice, and the conditions under which many of our colleagues practice, as illustrated so well by the preceding articles?" How can we help our students think about identifying the ethical issues that require careful consideration before action

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Gala, Leticya, Willem J. F. A. Tumbuan, and Shinta Wangke. "ANALYZING MANADO YOUTH PREFERENCES ON ONLINE MOVIE STREAMING." Jurnal EMBA : Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi 11, no. 1 (2023): 1393–99. http://dx.doi.org/10.35794/emba.v11i1.47501.

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Nowadays, young people dominate the use of the internet. One thing that we can do with the internet is watch a movie. Currently, there are many online movie streaming platforms available, including Viu, Disney+ Hotstar, and Netflix. Based on the problem's background, this research aims to determine which movie streaming platforms are most demanded by young people in Manado. This research uses quantitative methods to measure data. The method used is the Analytical Hierarchy Process (AHP) method. The AHP method is for rating alternatives to decisions and selecting the best multiple criteria, all

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Soeharli, Kevin Ardhana, and Satya Aditya Wibowo. "How to maintain and expand the star wars film franchise in Indonesia." Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan 4, no. 10 (2022): 4347–69. http://dx.doi.org/10.32670/fairvalue.v4i10.1657.

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The objectives of this research are to find out the primary reasons Indonesian customers watch the movies. To advise a proper marketing strategy for future Star Wars films so the revenue of the film franchise will grow optimally. In other words, to increase the number of Star Wars films audience. To find out the optimal promotional channel for the Star Wars film franchise to expand its customer base in Indonesia. To develop an implementation plan for the proposed marketing strategy. This research used primary and secondary data. The primary data are from quantitative and qualitative research,

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Bianco, Giuliana, Luca Foti, Raffaella Pascale, et al. "Phosphodiesterase-5 (PDE-5) Inhibitors as Emergent Environmental Contaminants: Advanced Remediation and Analytical Methods." Water 13, no. 20 (2021): 2859. http://dx.doi.org/10.3390/w13202859.

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Pharmaceuticals, fundamental in therapy and the prevention of known pathologies, are responsible for environmental pollution. These substances, called “emerging contaminants,” are harmful to human health because they enter the environment in quantities exceeding the natural self-capacity purification of the ecosystems. Furthermore, wastewater treatment plants (WWTPs) cannot remove these substances, which can undergo chemical/biological transformations in the environment, thus forming by-products, sometimes more toxic than the parent molecules; successively, they move into rivers and could reac

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Emile, Sameh Hany, and Anjelli Wignakumar. "Non-operative management of rectal cancer: Highlighting the controversies." World Journal of Gastrointestinal Surgery 16, no. 6 (2024): 1501–6. http://dx.doi.org/10.4240/wjgs.v16.i6.1501.

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There remains much ambiguity on what non-operative management (NOM) of rectal cancer truly entails in terms of the methods to be adopted and the best algorithm to follow. This is clearly shown by the discordance between various national and international guidelines on NOM of rectal cancer. The main aim of the NOM strategy is organ preservation and avoiding unnecessary surgical intervention, which carries its own risk of morbidity. A highly specific and sensitive surveillance program must be devised to avoid patients undergoing unnecessary surgical interventions. In many studies, NOM, often int

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Nwokedi, Michael Eberechukwu, and Christopher Uchenna Obasi. "Democracy and Development in Africa: Demystifying Democracy as the Best Form of Government." Journal of Contemporary International Relations and Diplomacy 5, no. 1 (2024): 20–36. http://dx.doi.org/10.53982/jcird.2024.0501.02-j.

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The resurgence of coups d’etat in Africa has resuscitated discussions about the suitability of democracy as an agent of development on the Continent. The dominant impression in extant literature suggests that the inefficiencies of democratic regimes provide the attractive invitation to military rule. Despite the encomiums showered on democracy as the global best form government, many years of its practice in Africa have resulted in massive underdevelopment. It has not delivered on its promise of free and fair elections, freedom of the press, association and others. Under the watch of democracy

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LIAO, Chin-Nung, Chih-Hsiang LIN, and Yan-Kai FU. "INTEGRATIVE MODEL FOR THE SELECTION OF A NEW PRODUCT LAUNCH STRATEGY, BASED ON ANP, TOPSIS AND MCGP: A CASE STUDY." Technological and Economic Development of Economy 22, no. 5 (2015): 715–37. http://dx.doi.org/10.3846/20294913.2015.1074951.

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New product launch strategy is a key competitive advantage for a new product development. A new product launch is a multiple criteria decision-making problem, which involves evaluating different criteria or attributes in a strategy selection process. The purpose of this paper is to develop a qualitative and quantitative approach for the selection of a new product launch strategy. The current study proposes an integrated approach, integrating analytic network process, the technique for order preference by similarity to an ideal solution and multi-choice goal programming, which can be used to de

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Holttum, Sue. "Research watch: Coronavirus (COVID-19), mental health and social inclusion in the UK and Ireland." Mental Health and Social Inclusion 24, no. 3 (2020): 117–23. http://dx.doi.org/10.1108/mhsi-05-2020-0032.

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Purpose This paper aims to examine recent papers on the effects of the COVID-19 pandemic on mental health, including implications for some of the groups of people already less included in society. Design/methodology/approach A search was carried out for recent papers on mental health and the COVID-19 pandemic. Findings Two papers describe surveys of adults in the UK and Irish Republic in the first days of lockdown. Low income and loss of income were associated with anxiety and depression. These surveys could not examine distress in Black and minority ethnicities, who have higher death rates fr

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Kidenda, Dr Mary Claire Akinyi. "THE NECESSITY FOR PARENTS TO WATCH ANIMATED CARTOONS WITH CHILDREN AGED SEVEN TO ELEVEN YEARS." Journal of Education and Practice 2, no. 1 (2018): 42. http://dx.doi.org/10.47941/jep.261.

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Purpose: The purpose of this study was to establish the necessity for parents to watch televised animated cartoons with children aged seven to eleven years.Methodology: The study used a descriptive survey method to collect information through casual interviews and self-administered questionnaires.Results: The study found out that the amount of time children spend watching animated cartoons on television can make them retract from social interactions with visitors, parents or other siblings when the television is on. Animated cartoons have an impact on children in respect to acquired or "borrow

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Fadhia raihan, Aqilla, Ika Mustika, and Dida Firmansyah. "BEDAH ALUR EKRANISASI NOVEL BUMI MANUSIA KARYA PRAMOEDYA ANANTA TOER KE DALAM FILM KARYA HANUNG BRAMANTYO." Parole : Jurnal Pendidikan Bahasa dan Sastra Indonesia 6, no. 5 (2023): 509–18. http://dx.doi.org/10.22460/parole.v6i5.21496.

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Currently, literart works become a trend among all ages because of changes in form that add to the aesthetics of a literary work. Not infrequently a literary work becomes a film that is widely carried out by filmmakers. Most people choose to watch movies in the midst of their busy lives to calm their minds from various activites. This is further strengthened by the number of best-selling novels in the market which are converted into films. Whether youth novels, horror, even history, a novel can be turned into an interesting and worthy film to watch. In this study, researchers chose the novel B

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Thornhill, Robert, Alexander Krings, David Lindbo, and Jon Stucky. "Guide to the Vascular Flora of the Savannas and Flatwoods of Shaken Creek Preserve and Vicinity (Pender & Onslow Counties, North Carolina, U.S.A.)." Biodiversity Data Journal 2 (May 16, 2014): e1099. https://doi.org/10.3897/BDJ.2.e1099.

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Shaken Creek Preserve ("SCP") is a 2,448 ha (6,050 ac) natural area in Pender and Onslow Counties, North Carolina (U.S.A). Best known for its high-quality longleaf pine savanna habitat, the site contains seven savanna or savanna-like plant community types (i.e., flatwoods or sandhills), three of which are globally critically imperiled (G1): Sandy Pine Savanna (Rush Featherling subtype), Wet Loamy Pine Savanna, and Very Wet Loamy Pine Savanna. SCP hosts three Federally Endangered plant species and six Federal Species of Concern. Formerly a private hunting club, the site was virtually unknown to

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Santos, Ana Luisa, Filipa Barros, and António Azevedo. "Matching-up celebrities’ brands with products and social causes." Journal of Product & Brand Management 28, no. 2 (2019): 242–55. http://dx.doi.org/10.1108/jpbm-03-2017-1439.

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PurposeBeyond traditional brand endorsement, many celebrities have in recent years decided to launch their own product lines, which may be used to promote their own celebrity brand. Which product categories or social causes match a celebrity’s brand personality? This study aims to investigate the antecedents of celebrity–product degree of fit and willingness to pay (WTP)/make a donation in different scenarios. The manipulation of the scenarios aims to capture the role of celebrity attributes, perceived personality profiles, product involvement and acceptance of social causes.Design/methodology

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Watkins, John. "How I Almost Solved the Problem of Induction." Philosophy 70, no. 273 (1995): 429–35. http://dx.doi.org/10.1017/s0031819100065608.

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At the seventh international congress of Logic, Methodology, and Philosophy of Science, held at Salzburg in 1983, I was talking with John Searle when I glanced at my watch and exclaimed, I must run. I'm due to solve the problem of induction at 2.15. ‘Yes,’ he replied, I must go too; I'm due to solve the mind-body problem. I don't know how seriously he meant his remark, but I did actually believe that I had cracked this old problem in the Epilogue of my Science and Scepticism,1 the manuscript of which was then with the publisher. In that book I drew a sharp distinction between the problem which

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Avdić, Dino, and Marina Bagić Babac. "APPLICATION OF AFFECTIVE LEXICONS IN SPORTS TEXT MINING: A CASE STUDY OF FIFA WORLD CUP 2018." South Eastern European Journal of Communication 3, no. 2 (2021): 23–33. http://dx.doi.org/10.47960/2712-0457.2021.2.3.23.

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World Cup is a major football event that is globally popular and has its very best influence on human emotions. As such, it affects how people verbally discuss football topics on the Internet. In addition, it shows great significance when viewers who usually do not watch other football competitions start paying close attention when their nation plays a World Cup football match. In this paper, fans’ online behaviour during World Cup 2018 was analysed using text mining methods. With the use of emotion analysis, it is noticed that there are different emotional states through which people go while

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Wang, Eunice S., and Jeffrey Baron. "Management of toxicities associated with targeted therapies for acute myeloid leukemia: when to push through and when to stop." Hematology 2020, no. 1 (2020): 57–66. http://dx.doi.org/10.1182/hematology.2020000089.

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Abstract The recent advent of myriad targeted therapies for acute myeloid leukemia (AML) has led to new hope for our patients but has also introduced new challenges in managing the disease. For clinicians, the ability to treat AML in the outpatient setting with novel agents of equal or greater efficacy than 7+3 has been transformative. Despite the enthusiasm, however, the reality is that many patients are still frail and remain at risk for treatment-related complications. Translating the results of clinical trials into improved outcomes for these individuals requires an understanding of how be

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Karo Karo, Ichwanul Muslim, Sri Dewi, Mardiana Mardiana, Fanny Ramadhani, and Putri Harliana. "K-Means and K-Medoids Algorithm Comparison for Clustering Forest Fire Location in Indonesia." Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) 10, no. 1 (2023): 86–94. http://dx.doi.org/10.33019/jurnalecotipe.v10i1.3896.

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Forest fires are the most common cause of deforestation in Indonesia. This condition has a negative impact on the survival of living things. Of course, this has received special attention from various parties. One effort that can be made for prevention is to group these points into areas with the potential for fire using the clustering method. In this research, a comparative study of the clustering algorithm between K-Means and K-Medoids was conducted on hotspot location data obtained from Global Forest Watch (GFW). Besides that, important variables that affect the clustering process are also

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Lee, Hyoung-kon. "The Actuality on Tea Tao as a way of cultivation: as to its philosophical basis." Association for International Tea Culture 57 (September 30, 2022): 83–114. http://dx.doi.org/10.21483/qwoaud.57..202209.83.

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This study is about presenting a practical way to cultivate mind based on the tea as a spiritual concept of the Tea Tao (茶道) and a ceremonial concept of the Confucian thought. Specifically, this study analyzed Tea Tao as a way of cultivation (修養) in three different cultural aspects, which are respect, sincerity, and courtesy. The characteristics of Confucianism are that the human nature is the principle of the sky and the duty of human being, we have to preserve the mind and train the nature. To do so, we need to watch ourselves, which is referred to as the inner reflection. Also, we need to w

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A.M. Ahmadova. "THE COMPARISON OF TRADITIONAL MEDIA AND SOCIAL MEDIA IN SPORT NEWS." Scientific News of Academy of Physical Education and Sport 4, no. 1 (2022): 175–79. http://dx.doi.org/10.28942/ssj.v4i1.498.

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The purpose of this article is both to create a very contemporary understanding of traditional media and social media regarding sport news and to provide readers with a broader context. All over the world for years people used traditional media which represents a form of communication employing vocal, verbal, musical and visual folk art forms, transmitted to a society or group of societies from one generation to another. Nowadays we can find thousands of resources about social media that are spread live news all over the world. Especially the sport news in social media make easier to get the r

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Yi, Yang, Yang Sun, Saimei Yuan, Yiji Zhu, Mengyi Zhang, and Wenjun Zhu. "COWO: towards real-time spatiotemporal action localization in videos." Assembly Automation 42, no. 2 (2022): 202–8. http://dx.doi.org/10.1108/aa-07-2021-0098.

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Purpose The purpose of this paper is to provide a fast and accurate network for spatiotemporal action localization in videos. It detects human actions both in time and space simultaneously in real-time, which is applicable in real-world scenarios such as safety monitoring and collaborative assembly. Design/methodology/approach This paper design an end-to-end deep learning network called collaborator only watch once (COWO). COWO recognizes the ongoing human activities in real-time with enhanced accuracy. COWO inherits from the architecture of you only watch once (YOWO), known to be the best per

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Wibawa, Aji Prasetya, Adjie Rosyidin, Fitriana Kurniawati, et al. "Mining the public sentiment for wayang climen preservation and promotion." International Journal of Visual and Performing Arts 5, no. 2 (2023): 84–95. http://dx.doi.org/10.31763/viperarts.v5i2.1163.

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Indonesia is a country that has a variety of cultural arts, one of which is shadow puppetry (Wayang). Wayang, in a staged, simple, and minimalist manner, is called Wayang Climen. Wayang Climen has been performed since the COVID-19 pandemic as a solution to keep working while still complying with health protocols. Utilization through YouTube social media attracts people to watch and provide opinions through comments. This opinion is beneficial and can be used as a feasibility study through sentiment analysis information classified as positive, negative, and neutral opinions. Sentiment analysis

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Tapinaki, S., M. Skamantzari, R. Chliverou, et al. "3D IMAGE BASED GEOMETRIC DOCUMENTATION OF A MEDIEVAL FORTRESS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W9 (January 31, 2019): 699–705. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w9-699-2019.

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<p><strong>Abstract.</strong> The detailed and thorough documentation of monuments is a rather complex process that requires the application of the best available state of the art techniques in order to preserve, restore, promote and make cultural heritage accessible to the public. This paper presents the 3D Geometric Documentation of a part of the medieval fortress of Chios, focussing in particular on the practical challenges which the object presented. The case study is a part of the fortified construction, consisting of a bastion, a watch tower on top of this bastion and a

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Nurwahidin, Lukman, Putu Harry Gunawan, and Rifki Wijaya. "Stress Detection Due to Lack of Rest Using Artificial Neural Network (ANN)." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 4 (2023): 1806. http://dx.doi.org/10.30865/mib.v7i4.6642.

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Currently, many people feel symptoms of stress due to lack of adequate rest. Which at this time the person will carry out activities that are very heavy both from tasks that are too heavy, work pressure that accumulates, and much more. People who experience stress symptoms sometimes don't know what causes stress. Through this research a learning machine will be made, using the Artificial Neural Network algorithm, will analyze heart rate data or BPM from 7 patient data per day, using a Fitbit smart watch will display several data such as falling asleep, waking up, REM (Rapid Eyes Movement) and,

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Haikal, Muhammad Fikry, Jasman, and Hendro Widarto. "Analisa Pengaruh Variasi Penggabungan Asbuton dan Aspal Minyak Terhadap Campuran AC-BC." Jurnal Karajata Engineering 4, no. 2 (2024): 161–70. https://doi.org/10.31850/karajata.v4i2.3441.

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Asbuton, which has a higher stability and softening point and also lower deformation is expected to be an alternative to overcome the weaknesses of asphalt concrete mixtures. Also cheaper operational costs are the selling point of asbuton that needs to be watch out for. The aim of this study was to determine the Optimum Asphalt Content or also known as KAO of the mixing between asbuton and asphalt in order to obtain a mixture composition that meet the AC-BC characteristics requirements. The research method used in this paper is the experimental method and analyzed in accordance with the Genera

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Rakhmatova, Mekhriniso. "RESSISSTANCE LITERATURE: "THE HUNGER GAMES" BY SUSANNE COLLINS." International Journal of Education, Social Science & Humanities. Finland Academic Research Science Publishers 11, no. 4 (2023): 202–11. https://doi.org/10.5281/zenodo.7800166.

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<em>Introduction. “Hunger Games” is the first book of HUNGER GAMES trilogy which is best-seller book known worldwide. This action packed and thought provoking trilogy includes a lot of genres in it, like young-adult fiction, science fiction, thriller, dystopian fiction, adventure. However, the genre of  the book  is mostly dystopia and adventure science fiction.</em> Research methods.<em> In the research method main and major characters have been analysed through depiction, characterization and delineation of inner and outer features of Katniss Everdeen, Peeta Mellark, Ha

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Kay, Shayna, Chimaobi Oyiliagu, and Amena Ali. "388 Prototyping a mobile phone application for Chimeric Antigen Receptor (CAR) T-cell therapy patient monitoring and data collection post-discharge." Journal of Clinical and Translational Science 8, s1 (2024): 115–16. http://dx.doi.org/10.1017/cts.2024.339.

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OBJECTIVES/GOALS: Research objectives include prototyping a mobile phone application that allows physicians to monitor CD19-directed CAR T-cell therapy patients remotely after discharge. This app will also enable standardized data collection across different centers that provide CAR-T cell therapy and allow for the harmonization of follow-up protocols. METHODS/STUDY POPULATION: Literature review and semi-structured interviews with patients, clinical coordinators, and other experts in the field will be used to determine what parameters must be included in the mobile application prototype to eff

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Damanhuri, Ahmad Mafazi, and Zhang Huaping. "DESIGN OF PEOPLE PROFILING AND MODELING REPUTATION COMPUTATION BASED ON SENTIMENT ANALYSIS." SINERGI 23, no. 1 (2019): 1. http://dx.doi.org/10.22441/sinergi.2019.1.001.

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The number of popular people is still growing because of the easiness to access information technology. Every time people upload things and let people watch it and give it a like or comment. People who can impress other people will grow their popularity and fame. Some famous people make influences, help poor people with powers, and others are causing troubles. Community these days drives people perspective by share their thoughts on social media. They spread information and makes others want to see things they are talked about. Troublesome popular people defended by their fan base and attacked

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REDONDO-GARCÍA, JOSÉ LUIS, and ADOLFO LOZANO-TELLO. "ONTOTV: AN ONTOLOGY-BASED SYSTEM FOR THE MANAGEMENT OF INFORMATION ABOUT TELEVISION CONTENTS." International Journal of Semantic Computing 06, no. 01 (2012): 111–30. http://dx.doi.org/10.1142/s1793351x1250002x.

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Nowadays, there are a huge number of digital television platforms and channels, so it is not easy for the viewer to decide what they want to watch. Some television providers offer information about the programs they broadcast, but this information is usually scarce and there is no possibility to perform advanced operations like recommendation ones. For this reason, viewers could benefit from a system that integrates all the available information about contents, and applies semantics methodologies in order to provide a better television watching experience. The main objective of this research i

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Saeed, Muhammad Zubair, Sobia Sultana, Zujaj Ahmed, Muhammad Talha Aziz, and Kainat Fatima. "Macroeconomic Factors Influencing Market Capitalization of Pakistan Stock Exchange (PSX)." Research Journal for Societal Issues 5, no. 2 (2023): 303–17. http://dx.doi.org/10.56976/rjsi.v5i2.102.

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Stock exchanges worldwide are discovering the best possible outcomes that can increase trading options in financial assets for potential investors. The principal purpose of the study is to provide an efficient and stable picture of market capitalization of Pakistan Stock Exchange (PSX) with various macroeconomic variables, which can be helpful to local and foreign investors. The study analyzed the secondary data from 1992 to 2021. Based on the theoretical background, various diagnostics were applied, precisely (ARDL) Autoregressive Distributed Lag methodology. Empirical outcomes confirmed that

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Al-Shareeda, Mahmood A., Laith Badr Najm, Ali Ahmed Hassan, Sajjad Mushtaq, and Hussein Abdul Ali. "Secure IoT-Based Smart Agriculture System Using Wireless Sensor Networks for Remote Environmental Monitoring." STAP Journal of Security Risk Management 2024, no. 1 (2024): 56–66. https://doi.org/10.63180/jsrm.thestap.2024.1.4.

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Designing and implementing a secure IoT-based smart agriculture system that uses wireless sensor networks (WSNs) for real-time monitoring to keep the best environment and irrigates automatically. The proposed system is based on the ESP32 microcontroller and incorporates sensors for soil moisture, temperature, humidity, pH, and total dissolved solids (TDS), enabling precise agricultural resource management. The system is powered by solar energy to ensure continuous operation in remote areas or off the grid. Via Transport Layer Security (TLS), data is securely transmitted to the cloud, and devic

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Jebamalar, A., and Anbuselvi Anbuselvi. "Survey on Nearest Keyword Set Search in Multi-dimensional Datasets." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 8 (2017): 64. http://dx.doi.org/10.23956/ijarcsse.v7i8.23.

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Keyword query in multi-dimensional datasets is a noteworthy application in information mining. It is normal that the articles in a spatial database (e.g. eateries/inns) are connected with keyword(s) to demonstrate their organizations/administrations/highlights. An interesting issue known as neighboring Keywords inquiry is to question objects, called catchphrase cover, which together cover an agreement of question watchwords and have the base among items remove. As of late, we watch the increasing accessibility and significance of catchword rating in protest assessment for the better basic lead

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Charalampos, Basdekis, Katsampoxakis Ioannis, and Gkolfinopoulos Alexandros. "VaR as a mitigating risk tool in the maritime sector: An empirical approach on freight rates." Quantitative Finance and Economics 6, no. 2 (2022): 158–76. http://dx.doi.org/10.3934/qfe.2022007.

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<abstract> <p>Shipping freight rates fluctuation is considered as one of the most important risk factors that participants face in the tanker shipping market (ship-owners, charterers, traders, hedge funds, banks and other financial institutions) in order to watch its evolution. This study examines freight rates for two of the most popular clean and dirty tanker routes; TC2 and TD3 from 22 May 2007 to 21 September 2015, using daily spot and future prices. The full data sample is divided into two sub periods, from 22 May 2007 to 13 August 2013 (in sample period) on which the model es

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