Relevant bibliographies by topics / Keyword two

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Keyword two'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Keyword two"

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Thomsen, Bodil Marie Stavning. "Tag a keyword, tag two..." K&K - Kultur og Klasse 34, no. 102 (October 2, 2006): 135–36. http://dx.doi.org/10.7146/kok.v34i102.22321.

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Wu, Chung-Hsien, and Yeou-Jiunn Chen. "Multi-keyword spotting of telephone speech using a fuzzy search algorithm and keyword-driven two-level CBSM." Speech Communication 33, no. 3 (February 2001): 197–212. http://dx.doi.org/10.1016/s0167-6393(00)00016-9.

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Campos, Alfredo, Angeles Amor, and María Angeles González. "The Importance of the Keyword-Generation Method in Keyword Mnemonics." Experimental Psychology 51, no. 2 (January 2004): 125–31. http://dx.doi.org/10.1027/1618-3169.51.2.125.

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Abstract. Keyword mnemonics is under certain conditions an effective approach for learning foreign-language vocabulary. It appears to be effective for words with high image vividness but not for words with low image vividness. In this study, two experiments were performed to assess the efficacy of a new keyword-generation procedure (peer generation). In Experiment 1, a sample of 363 high-school students was randomly divided into four groups. The subjects were required to learn L1 equivalents of a list of 16 Latin words (8 with high image vividness, 8 with low image vividness), using a) the rote method, or the keyword method with b) keywords and images generated and supplied by the experimenter, c) keywords and images generated by themselves, or d) keywords and images previously generated by peers (i.e., subjects with similar sociodemographic characteristics). Recall was tested immediately and one week later. For high-vividness words, recall was significantly better in the keyword groups than the rote method group. For low-vividness words, learning method had no significant effect. Experiment 2 was basically identical, except that the word lists comprised 32 words (16 high-vividness, 16 low-vividness). In this experiment, the peer-generated-keyword group showed significantly better recall of high-vividness words than the rote method groups and the subject generated keyword group; again, however, learning method had no significant effect on recall of low-vividness words.
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Salter, James, and Nick Antonopoulos. "An optimized two-tier P2P architecture for contextualized keyword searches." Future Generation Computer Systems 23, no. 2 (February 2007): 241–51. http://dx.doi.org/10.1016/j.future.2006.07.014.

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ITO, SEIJI, and SIGERU OMATU. "KEYWORDS SPECIFICATION FOR IMAGES USING SANDGLASS-TYPE NEURAL NETWORKS." International Journal of Computational Intelligence and Applications 04, no. 02 (June 2004): 143–52. http://dx.doi.org/10.1142/s1469026804001203.

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We propose a keyword specification method for images, which can be used to retrieve an image by a keyword. In order to specify a keyword for a sub-region of the image, images are segmented in some regions. Here, we consider ten keywords to specify the regions. The image segmentation method consists of the maximum-distance algorithm, labeling, and merging the small regions. We provide training regions for each keyword. Important features of the keyword are selected using the Factor Analysis (FA). The features are compressed into a two-dimensional space using a Sandglass-type Neural Network (SNN). We train the SNN using the training dataset. Then 60 samples of the testing dataset are evaluated by keywords extraction.
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Helmreich, Stefan, and Sophia Roosth. "Life Forms: A Keyword Entry." Representations 112, no. 1 (2010): 27–53. http://dx.doi.org/10.1525/rep.2010.112.1.27.

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We deliver a "keyword" account of the term life form as it has been used in natural philosophy and biology over the last two hundred years, beginning with its appearance in German as Lebensform. We argue that life form has, since its earliest enunciations, pointed to a space of possibility within which life might take shape, but that the way that space is imagined and theorized in biology has transformed substantially; life form originated as a term referring to idealized, aesthetic possibilities, then transformed to describe biogeographic and evolutionary potentialities, and today, in the age of synthetic biology and astrobiology, has come to signal conjectural and future possibilities.
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Chen, Zijun, Tingting Zhao, and Wenyuan Liu. "Time-aware collective spatial keyword query." Computer Science and Information Systems 18, no. 3 (2021): 1077–100. http://dx.doi.org/10.2298/csis200131034c.

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The collective spatial keyword query is a hot research topic in the database community in recent years, which considers both the positional relevance to the query location and textual relevance to the query keywords. However, in real life, the temporal information of object is not always valid. Based on this, we define a new query, namely time-aware collective spatial keyword query (TCoSKQ), which considers the positional relevance, textual relevance, and temporal relevance between objects and query at the same time. Two evaluation functions are defined to meet different needs of users, for each of which we propose an algorithm. Effective pruning strategies are proposed to improve query efficiency based on the two algorithms. Finally, the experimental results show that the proposed algorithms are efficient and scalable.
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Fakas, Georgios J., and Zhi Cai. "Object summaries for keyword search." Encyclopedia with Semantic Computing and Robotic Intelligence 02, no. 02 (November 14, 2018): 1750002. http://dx.doi.org/10.1142/s2529737617500022.

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The abundance and ubiquity of graphs (e.g., semantic knowledge graphs, such as Google’s knowledge graph, DBpedia; online social networks such as Google[Formula: see text], Facebook; bibliographic graphs such as DBLP, etc.) necessitates the effective and efficient search over them. Thus, we propose a novel keyword search paradigm, where the result of a search is an Object Summary (OS). More precisely, given a set of keywords that can identify a Data Subject (DS), our paradigm produces a set of OSs as results. An OS is a tree structure rooted at the DS node (i.e., a node containing the keywords) with surrounding nodes that summarize all data held on the graph about the DS. An OS can potentially be very large in size and therefore unfriendly for users who wish to view synoptic information about the data subject. Thus, we investigate the effective and efficient retrieval of concise and informative OS snippets (denoted as size-[Formula: see text] OSs). A size-[Formula: see text] OS is a partial OS containing [Formula: see text] nodes such that the summation of their importance scores results in the maximum possible total score. However, the set of nodes that maximize the total importance score may result in an uninformative size-[Formula: see text] OSs, as very important nodes may be repeated in it, dominating other representative information. In view of this limitation, we investigate the effective and efficient generation of two novel types of OS snippets, i.e., diverse and proportional size-[Formula: see text] OSs, denoted as DSize-[Formula: see text] and PSize-[Formula: see text] OSs. Namely, besides the importance of each node, we also consider its pairwise relevance (similarity) to the other nodes in the OS and the snippet. We conduct an extensive evaluation on two real graphs (DBLP and Google[Formula: see text]). We verify effectiveness by collecting user feedback, e.g., by asking DBLP authors (i.e., the DSs themselves) to evaluate our results. In addition, we verify the efficiency of our algorithms and evaluate quality of the snippets that they produce.
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Takase, Haruhiko, Hiroharu Kawanaka, and Shinji Tsuruoka. "Supporting System for Quiz in Large Class – Automatic Keyword Extraction and Browsing Interface –." Journal of Advanced Computational Intelligence and Intelligent Informatics 19, no. 1 (January 20, 2015): 152–57. http://dx.doi.org/10.20965/jaciii.2015.p0152.

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We focus on developing an e-learning system that supports the grasping of misunderstanding from descriptive answers. We propose real-time keyword extraction and an interface for grasping misunderstanding based on extracted keywords. The system extracts keywords without extra information. Teachers find majormisunderstandings by using the proposed interface, which consists of two views – keyword and description. Using these views, teachers browse answers in three steps – finding keywords, reading around keywords, and reading full answers. We use experiments to demonstrate the effectiveness of our system, this proposed keyword extraction extracts expected words. Subjects evaluate the proposed interface for its effectiveness in grasping misunderstandings. Using our proposed, teachers found major misunderstandings quickly and easily.
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Li, Huajiao, Haizhong An, Yue Wang, Jiachen Huang, and Xiangyun Gao. "Evolutionary features of academic articles co-keyword network and keywords co-occurrence network: Based on two-mode affiliation network." Physica A: Statistical Mechanics and its Applications 450 (May 2016): 657–69. http://dx.doi.org/10.1016/j.physa.2016.01.017.

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Dissertations / Theses on the topic "Keyword two"

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Poole, Robert E. "Good Times, Bad Times: A keyword analysis of letters to shareholders of two Fortune 500 Banking Institutions." University of Arizona Linguistics Circle, 2013. http://hdl.handle.net/10150/271014.

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This corpus-based keyword analysis study investigated the letters to the shareholders from two commercial banks, Bank of America and Citigroup, over a three-year period from 2008, 2009, and 2010. The letters were compiled to facilitate a diachronic assessment of profit/loss reporting from two prominent institutions over a time period in which the recession commenced, peaked, and concluded. To conduct the analysis on the node texts, two sets of reference corpora were compiled. The first reference corpus set consisted of the letters to shareholders from eight consistently high-performing corporations not within the commercial banking industry for each of the three years; the second reference corpus set consisted of the letters from the 10 banking institutions that also appeared in the Fortune 500 listings for the three period. The corpus-based analysis revealed that in years of low performance companies create messages that assert a vision and forward a strategy for ensuring future success while also deflecting responsibility for past failure. In contrast, when companies perform well, the keyword lists display a clear tendency of the company and the author to accept praise and responsibility for high performance.
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Renström, Caroline. "Framing Obama : A Comparative Study of Keywords and Frames in Two Washington Newspapers." Thesis, Stockholms universitet, Engelska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-70148.

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This study aims to contribute to the understanding of ideology conveyed by lexical items and framing of texts. Since ideology is embedded in language the frames used in newspapers construct a narrow ideological perspective for the readers to interpret subjects and events through. On the basis of editorials from The Washington Post and The Washington Times that cover President Barack Obama, the study examines how the editorials differ in their framing of Obama and which discourses and keywords occur unusually frequently in each newspaper. Findings suggest that when it comes to framing, The Washington Post allows for a relatively balanced perspective on Obama as they both support and criticise him, while The Washington Times overwhelmingly condemns and attacks Obama. A keyword analysis points to unusually frequent discourses on race, conservatives and reforms in The Washington Post, and spending, unemployment and political institutions in The Washington Times. Because of their ideological differences the newspapers construct a reality where the subject, Obama, is presented in very different ways.
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Mazzini, Federico. "Query sull'infrastruttura IOTA: un approccio keyword-based." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20603/.

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I registri distribuiti o Distributed Ledger Technology (DLT) sono un particolare tipo di architettura che consente la memorizzazione di dati in maniera distribuita e permanente, senza l'ausilio di un entità centrale. Il primo esempio di tecnologia DLT è rappresentato dalla struttura dati Blockchain, sviluppata per la gestione della criptovaluta Bitcoin. Da quella prima implementazione ne sono seguite altre, che spaziano ad altri campi applicativi e che perciò possiedono caratteristiche diverse dalla tipica struttura a blocchi. Tra queste si trova IOTA, una criptovaluta sviluppata in riferimento all’ambiente dell’Internet of Things (IOT), la quale permette di effettuare micro transazioni a costo zero (zero fee). Una delle caratteristiche più importanti di IOTA è il protocollo di comunicazione MAM, attraverso il quale vengono creati canali di messaggi di tipo publisher-subscriber. La creazione e la scrittura di questi è funzionale e potente, ma la ricerca è possibile solamente conoscendo un indirizzo denominato root. Lo scopo di questo progetto di tesi è presentare una struttura distribuita in grado di eseguire query keyword-based all'interno del registro IOTA. E’ stato progettato un overlay basato su Distributed Hash Table (DHT) con topologia a ipercubo. A partire da un set di keyword, la struttura DHT indicizza i messaggi MAM, ma non li replica, garantendo così l’integrità dei dati che tanto contraddistingue i registri distribuiti. Infine, è presentata una riflessione sui Permanode, particolari nodi all'interno di IOTA.
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Zhao, Jing. "Full-text keyword search in meta-search and P2P networks /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20ZHAOJ.

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Tuszynska, Sandra School of Biotechnology &amp Biomolecular Science UNSW. "Zinc and nickel disrupt tubular vacuole and mitochondrial networks, but only nickel disrupts microtubules in hyphal tip cells of two Paxillus involutus strains." Awarded by:University of New South Wales. School of Biotechnology and Biomolecular Science, 2005. http://handle.unsw.edu.au/1959.4/32728.

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Ectomycorrhizal fungi are able to ameliorate heavy metal stress to host trees in polluted soils. Their sensitivity or tolerance to heavy metals is usually examined based on growth and proliferation on heavy metal amended media. However, there are no data on cellular effects of heavy metals and detoxification in live cells of these fungi. Organelle morphology has recently been recognized as an indication of cellular health and its changes can be used to assess cytotoxicity. The aim of this study was, therefore, to investigate short term effects of common heavy metal pollutants, Zn2+ and Ni2+ on the morphology of vacuoles, mitochondria and microtubules in hyphal tip cells of two Paxillus involutus strains. Vacuoles, mitochondria and microtubules were labeled with Oregon Green?? 488 carboxylic acid diacetate, 3,3'-dihexyloxacarbocyanine iodide ((DiOC6(3)) and anti-??- tubulin antibodies, respectively. They were treated with 0-1 mmol L-1 NiSO4 or 0-100 mmol L-1 ZnSO4 or K2SO4 (SO4 2- control) and examined by fluorescence microscopy. Vacuoles and mitochondria in untreated hyphal tip cells of strain P2 which originated from a heavy metal-rich soil were motile and tubular forming networks. Exposure to the metals caused tubular vacuole thickening and vesiculation as well as fragmentation of tubular mitochondria in living hyphal tip cells. The highest K2SO4 concentration also had severe effects on mitochondria. These effects were metal, concentration and exposure time dependent. NiSO4 caused these effects at a hundred fold lower concentration than ZnSO4 and induced severe microtubule disruption. Vacuole tubularity recovered after removal of the metal solutions depending on the metal, concentration and exposure time. Mitochondrial tubularity recovered to pretreatment morphology in a shorter time and even during exposure to the highest metal concentration. Vacuoles of strain P46 which originated from a non-polluted soil were pleomorphic, but mainly spherical with occasional tubular interconnections. The vacuoles were too sensitive to UV light exposure required for fluorescence microscopy to investigate their response to heavy metals. The mitochondrial network and microtubules resembled those of strain P2. The highest ZnSO4 and NiSO4 concentrations caused similar trends in response of mitochondria and microtubules of the two strains. However, mitochondria of strain P46 were less sensitive at lower metal concentrations. The highest K2SO4 concentration had more severe effects on mitochondria of strain P46 than in strain P2 from which tubularity was not recovered. This investigation is the first to reveal that heavy metals affect organelle morphology in two strains of an ectomycorrhizal fungus. Nickel effects on the organelles are likely to result from microtubule disruption. Metal induced mitochondrial fragmentation is possibly an apoptotic response and the recovery of tubular organelle networks suggests cellular detoxification.
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Akhavantabasi, Shiva. "Functional Characterization Of Two Potential Breast Cancer Related Genes." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614275/index.pdf.

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Cancer may arise as a result of deregulation of oncogenes and/or tumor suppressors. Although much progress has been made for the identification of such cancer related genes, our understanding of the complex tumorigenesis pathways is still not complete. Therefore, to improve our understanding of how certain basic mechanisms work in normal and in cancer cells, we aimed to characterize two different breast cancer related genes. First part of the study focused on subcellular localization USP32 (Ubiquitin Specific Protease 32) to help understand the function of this uncharacterized gene. USP32 is a member of deubiquitinating enzymes (DUBs) and the gene maps to a gene rich region on 17q23. Genes on 17q23 are known to undergo amplification and overexpression in a subset of breast cancer cells and tumors. DUBs are known to be implicated in a variety of cellular functions including protein degradation, receptor endocytosis and vesicle trafficking. Therefore to elucidate the function of USP32, we localized the full length USP32 protein fused to GFP, in HeLa cells, using Fluorescence Protease Protection (FPP) assay and confocal microscopy. Results suggested a Golgi localization for USP32 as confirmed by co-localization study via BODIPY-TR, a Golgi specific marker. Additional investigations to find the role of USP32 in Golgi will further clarify the function of this candidate oncogene. Second part of the study focused on a potential tumor suppressor. For this purpose, we functionally characterized miR-125b, a microRNA gene as a potential tumor suppressor in breast cancer. microRNAs are regulators of gene expression and their deregulation is detected in cancer cells. miR-125b is reported as a down regulated microRNA in breast cancers. In this study, we investigated the expression, function and possible targets of miR-125b in breast cancer cell lines (BCCLs). Our results revealed a dramatic down regulation of miR-125b in a panel of BCCLs. Restoring the expression of miR-125b in low miR-125b expressing cells decreased the cell proliferation and migration as well as cytoplasmic protrusions, detected by staining of actin filaments. While connection of miR-125b and cell motility based on ERBB2 targeting has been reported earlier, here we present data on ERBB2 independent effects of miR-125b on cell migration in non-ERBB2 overexpressing breast cancer cells. Our results showed involvement of a miR-125b target, ARID3B, in cell motility and migration. Our findings showed miR-125b to be an important regulator of cell proliferation and migration in ERBB2 negative breast cancer cells, possibly through regulating multiple targets.
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Baykal, Cuneyt. "Two-dimensional Depth-averaged Beach Evolution Modelling." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614148/index.pdf.

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In this study, a two-dimensional depth-averaged beach evolution numerical model is developed to study the medium and long term nearshore sea bottom evolution due to non-cohesive sediment transport under the action of wind waves only over the arbitrary land and sea topographies around existing coastal structures and formations. The developed beach evolution numerical model is composed of four sub-models: a nearshore spectral wave transformation model based on energy balance equation including random wave breaking and diffraction terms to compute the nearshore wave characteristics, a nearshore wave-induced circulation model based on the non-linear shallow water equations to compute the nearshore depth averaged wave-induced current velocities and mean water level changes, a sediment transport model to compute the local total sediment transport rates occurring under the action of wind waves and a bottom evolution model to compute the bed level changes in time due to gradients of sediment transport rates in cross-shore and longshore directions. The governing partial differential equations are solved utilizing finite difference schemes. The developed models are applied successfully to several theoretical and conceptual benchmark cases and an extensive data set of laboratory and field measurements. As an alternative approach to be used in beach evolution problems, a distributed total sediment load formula is proposed based on the assumption that the local total sediment transport rates across the surf zone are proportional to the product of the rate of dissipation of wave energies due to wave breaking and wave-induced current velocities. The proposed distribute load approach is validated with the available laboratory and field measurements.
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Dogan, Eylem. "Two-phase Anaerobic Digestion Of Semi-solid Organic Wastes." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609280/index.pdf.

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The objective of this study is to illustrate that phase separation improves the efficiency of an anaerobic system which digests semi-solid organic wastes. Organic fraction of municipal solid waste (OFMSW) was the semi-solid organic waste investigated. In the first part of the study, the optimum operational conditions for acidified reactor were determined by considering the volatile solid (VS) reductions and average acidification percentages at the end of two experimental sets conducted. Organic loading rate (OLR) of 15 g VS/L.day, pH value of 5.5 and hydraulic retention time (HRT) of 2 days were determined to be the optimum operational conditions for the acidification step. Maximum total volatile fatty acid and average acidification percentage were determined as 12405 mg as HAc/L and 28%, respectively in the reactor operated at optimum conditions. In the second part, an acidification reactor was operated at the optimum conditions determined in the first part. The effluents taken from this reactor as well as the waste stock used to feed this reactor were used as substrate in the biochemical methane potential (BMP) test. The results of BMP test revealed that the reactors fed by acidified samples indicated higher total chemical oxygen demand (tCOD) removals (39%), VS reductions (67%) and cumulative gas productions (265 mL). The result of this study indicated that the separation of the reactors could lead efficiency enhancement in the systems providing that effective control was achieved on acidified reactors.
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Drager, Christopher John. "Effect of DHA supplementation on muscle damage and inflammation during the first two weeks of a novice resistance training program." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/19254.

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Aim: The purpose of this study was to investigate docosahexaenoic acid (DHA) ingestion on muscle damage and inflammation during the first two weeks of a novice resistance training (RT) program. Methods: This study was a placebo-controlled, double-blind design. Forty-one healthy untrained males between the ages of 18 and 28 years consumed 2,000 mg/d of either DHA or corn oil (PCB) for 44 days including a 28 day loading period. Serum fatty acids were analyzed to determine treatment efficacy. During the 17 day training period, an acute eccentric exercise bout was implemented followed by a full-body RT regimen thrice weekly. Six fasted blood draws (days 1, 2, 4, 7, 12, and 17) during this exercise period were analyzed for creatine kinase (CK) and C-reactive protein (CRP). Maximum isometric strength (ISO) of the elbow flexors, delayed onset muscle soreness (DOMS), and range of motion (ROM) were measured on day 1 prior to exercise and also on days 2, 3, 4, 7, 12, and 17. Results: The CK response and the area under the curve (AUC) analysis for DOMS trended to decrease in the DHA group in comparison to placebo (p=0.0925 and p=0.0536, respectively). Treatment showed no effect on CRP levels. DHA supplementation significantly increased serum DHA by 380% as a proportion of total fatty acids (p<0.0001). Conclusion: This study does not demonstrate convincing benefits of DHA ingestion to recovery from a new resistance exercise program but does suggest a need for further investigation.
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Rabab'A, Moh'd Ghazi. "The expansion of trademark functions with particular reference to online keywords advertising : the European experience." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/the-expansion-of-trademark-functions-with-particular-reference-to-online-keywords-advertisingthe-european-experience(3a239549-8cc4-4808-a585-882c43bf3252).html.

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The primary purpose of a trademark is to facilitate the communication of information between consumers and producers about their products and services to those who wish or need to buy them. The consumer needs to be able to depend on the message the mark conveys to ensure they are purchasing what will fulfil their requirements. In the modern market place, the choice appears endless, and indeed the principles of free trade espoused by the European treaties has heightened the opportunities for cross-national traders to sell their goods, and increased the options available to consumers. When this occurs, so does the availability of information which a purchaser may find the need to seek through to ascertain what he or she wants in an complex and often confusing exercise in differentiation. It is therefore in the interests of producers and customers that those who manufacture goods or provide services develop a mark which identifies their wares and helps provide feedback measured by success; consequently an exchange of information. Consumers are able to make their preferences known via choice, or otherwise, of the mark. Modern business methods and the vast array of marketing opportunities are not only placing the role and function of the trademark at the forefront of consumer protection, but also developing the concept of the mark as an asset of considerable value in itself. This increases its vulnerability to competitive interference and the proposition that it should receive enhanced protection in law. Somewhat perversely, it has resulted in a body of legislation and jurisprudence which lacks cogency and coherence. The purpose of this thesis, accordingly, is to examine the causes thereof by evaluating the current European trademarks protection system to ascertain the contribution they actually make to promotion of free competition and the movement of goods or services upon which that substantial market is predicated. It will examine the impact of the development of protection granted to the trademark with particular reference to the use of online keywords advertising service and focus on the effect of relatively new theories of what functions qualify to be shielded from harm from competitive others. This has expanded beyond the conventional boundaries of source ‘origin’ protection, espoused to primarily protect consumers from confusion in their choice making process. Advertising and investment functions as separate principle are recognised by the Court of Justice of the European Union, but do not appear to qualify for safeguarding in the context of the competitive free market. In fact, it will be shown that giving excessive shelter from harm to all functions which may affect the value of the trademark will limit, even jeopardise, third party competitor and consumer issues. It will inhibit the use of the e-commerce online keywords advertising service which assists third parties to promote alternative competing goods or services and so reduce consumer choice by restriction of online information. It is suggested that proper, clear defences must be guaranteed under the law so third parties may gauge their actions to avoid infringement of trademark owner rights whilst promoting their own products, and accordingly strike the necessary balance between the different competing interests of trademark owners, third parties competitors, and consumers.
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Books on the topic "Keyword two"

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Maruyama, Tōru. Keyword in context index of the Regras Gerays, Breves, & comprehensivas Da Melhor ortografia-- (1666) by Bento Pereyra. Tokyo: Research Institute for Languages and Cultures of Asia and Africa, 2005.

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Das, Nandini, João Vicente Melo, Lauren Working, and Haig Smith. Keywords of Identity, Race, and Human Mobility in Early Modern England. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463720748.

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What did it mean to be a stranger in sixteenth- and seventeenth-century England? How were other nations, cultures, and religions perceived? What happened when individuals moved between languages, countries, religions, and spaces? Keywords of Identity, Race, and Human Mobility analyses a selection of terms that were central to the conceptualisation of identity, race, migration, and transculturality in the early modern period. In many cases, the concepts and debates that they embody – or sometimes subsume – came to play crucial roles in the articulation of identity, rights, and power in subsequent periods. Together, the essays in this volume provide an invaluable resource for anyone interested in the development of these formative issues.
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Maruyama, Tōru. Keyword in context index of the Regras que ensinam a maneira de escrever e a orthographia da lingua portuguesa (1574) by Pero de Magalhães de Gandavo. Nagoya, Japan: Toru Maruyama, 2001.

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Patañjali. Yoga: Discipline of freedom : the Yoga Sutra attributed to Patanjali ; a translation of the text, with commentary, introduction, and glossary of keywords. Berkeley, Calif: University of California Press, 1996.

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Patañjali. Yoga: Discipline of freedom : the Yoga Sutra attributed to Patanjali : a translation of the text, with commentary, introduction, and glossary of keywords. New York: Bantam Books, 1998.

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Bartoli, Roberto, ed. Responsabilità penale e rischio nelle attività mediche e d'impresa (un dialogo con la giurisprudenza). Florence: Firenze University Press, 2010. http://dx.doi.org/10.36253/978-88-8453-570-2.

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This book presents the proceedings of the conference held in Florence on 7 and 8 May 2009 upon the conclusion of a MUIR study. The inspiration behind it can be summarised in two keywords. The first is "modernity", because it focuses on the sectors of criminal liability of the doctor and the entrepreneur, those that have been most dramatically affected by social change and technological developments, straining to the limit the "classic" configuration of criminal law categories. The second is "case law", in the sense that we have sought to focus on the reality of living law and to investigate the concepts of the causality, blame and complicity of individuals as they are actually illustrated by precedents.
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Mello, Heliana, Alessandro Panunzi, and Tommaso Raso, eds. Pragmatics and Prosody. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-084-6.

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Most of the papers collected in this book resulted from presentations and discussions undertaken during the V Lablita Workshop that took place at the Federal University of Minas Gerais, Brazil, on August 23-25, 2011. The workshop was held in conjunction with the II Brazilian Seminar on Pragmatics and Prosody. The guiding themes for the joint event were illocution, modality, attitude, information patterning and speech annotation. Thus, all papers presented here are concerned with theoretical and methodological issues related to the study of speech. Among the papers in this volume, there are different theoretical orientations, which are mirrored through the methodological designs of studies pursued. However, all papers are based on the analysis of actual speech, be it from corpora or from experimental contexts trying to emulate natural speech. Prosody is the keyword that comes out from all the papers in this publication, which indicates the high standing of this category in relation to studies that are geared towards the understanding of major elements that are constitutive of the structuring of speech.
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Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1513119.

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Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
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Varlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
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Ray, Amit Shovon, M. Parameswaran, Manmohan Agarwal, Sunandan Ghosh, Udaya S. Mishra, Upasak Das, and Vinoj Abraham. Quality of Social Science Research in India. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199474417.003.0007.

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The chapter analyses the quality of research in terms of quality of articles and of journals by using a quality index. It uses two-dimension indicators to judge the quality of articles, that is, citations (scholarly) and readership, which is the number of hits an article receives in a simple Google keyword search. The quality of a journal is measured in terms of three dimensions: its presence over time, its presence across space, and its depth. The study took 21351 journal articles from 1006 journals (902 journals from Scopus and 104 journals from ISID for five-year period, 2010–14. It emerged that India’s social science research (SSR) contributes more to public debates and policy formulations and relatively less in pushing the frontiers of knowledge for further research.
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Book chapters on the topic "Keyword two"

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Zhou, Peilin, Zhenhua Liu, and Shuhong Duan. "Flexible Attribute-Based Keyword Search via Two Access Policies." In Advances on Broad-Band Wireless Computing, Communication and Applications, 815–22. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49106-6_83.

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Litvinova, Tatiana, Olga Litvinova, and Galina Zavarzina. "Two Views on the 2010 Moscow Metro Bombings: Corpus-Based Contrastive Keyword Analysis." In Communications in Computer and Information Science, 393–404. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-37858-5_32.

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Park, Sang Cheol, Hwa Jeong Son, Chang Bu Jeong, and Soo Hyung Kim. "Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching." In Innovations in Applied Artificial Intelligence, 79–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11504894_12.

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Jost, Patrick, and Marisa Lampert. "Two Years After: A Scoping Review of GDPR Effects on Serious Games Research Ethics Reporting." In Lecture Notes in Computer Science, 372–85. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63464-3_35.

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AbstractOn May 25th, 2018, the EU General Data Protection Regulation (GDPR) came into force. Recognised as a comprehensive regulation for improving privacy and data protection, a substantial impact on data processing disciplines such as Serious Games (SG) research was expected.By conducting a scoping review, this paper explores the effects of GDPR on reporting of ethics approval, informed consent, ethics guidelines and data protection in SG studies. Five scientific databases were searched for research between 2016 and 2020 addressing Serious Games, Exergames and Applied Games. A total of 2146 full-text studies split into equal collections before and after GDPR were included. Lexicometric and keyword-in-context analysis were conducted and comparatively evaluated regarding ethics reporting and trends.Results unexpectedly show that GDPR so far hardly left a mark. While a slight increase of 12% in general ethics reporting can be observed, less than 6% of the studies after GDPR coming-into-force report on data protection. Ethics procedures remained consistent with most researchers reporting the approval from their home university committee and stating the Declaration of Helsinki as followed guidelines. Overall, the verifiable impact of GDPR was found negligibly small, with only 0.5% of studies referring to the regulation in the two years after introduction. Conclusively, further research is suggested to focus on integrating ethics and data protection guided on GDPR from an early conceptual stage to the reporting of the findings.
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Kelsey, Todd. "Keyword Research." In Introduction to Search Engine Optimization, 43–57. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2851-7_4.

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Weller, Bart, and Lori Calcott. "Keyword Strategy." In The Definitive Guide to Google AdWords, 105–31. Berkeley, CA: Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4015-0_6.

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Kelsey, Todd. "Keywords." In Introduction to Search Engine Marketing and AdWords, 67–80. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2848-7_5.

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Tambling, Jeremy. "“What is called taste is only another name for fact”: Two Dickens Keywords." In Some Keywords in Dickens, 205–20. Göttingen: V&R unipress, 2021. http://dx.doi.org/10.14220/9783737013154.205.

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Lu, Jiaheng. "Effective XML Keyword Search." In An Introduction to XML Query Processing and Keyword Search, 203–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34555-5_6.

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Lu, Jiaheng. "XML Keyword Pattern Refinement." In An Introduction to XML Query Processing and Keyword Search, 233–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34555-5_7.

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Conference papers on the topic "Keyword two"

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Haji, Mehdi, Mohammad R. Ameri, Tien D. Bui, Ching Y. Suen, and Dominique Ponson. "Two-stage approach to keyword spotting in handwritten documents." In IS&T/SPIE Electronic Imaging, edited by Bertrand Coüasnon and Eric K. Ringger. SPIE, 2013. http://dx.doi.org/10.1117/12.2042265.

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Sukkar, R. A., and J. G. Wilpon. "A two pass classifier for utterance rejection in keyword spotting." In Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319338.

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Xu, Jun, Weiming Zhang, Ce Yang, Jiajia Xu, and Nenghai Yu. "Two-Step-Ranking Secure Multi-Keyword Search over Encrypted Cloud Data." In 2012 International Conference on Cloud and Service Computing (CSC). IEEE, 2012. http://dx.doi.org/10.1109/csc.2012.26.

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Priya, N., and M. Ponnavaikko. "Keyword Search With Two-Side Verification in encrypted data using blockchain." In 2020 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2020. http://dx.doi.org/10.1109/iccci48352.2020.9104169.

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Pawar, Sanket S., Abhijeet Manepatil, Aniket Kadam, and Prajakta Jagtap. "Keyword search in information retrieval and relational database system: Two class view." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7755576.

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Ding, Xuefeng, Xiaofen Wang, and Yunmeng Shao. "On the Correctness of a Two-Round Multi-Keyword Top-k Ciphertext Retrieval." In 2017 9th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2017. http://dx.doi.org/10.1109/icmtma.2017.0098.

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Chen, Yingna, Tao Hou, Sha Meng, Shan Zhong, and Jia Liu. "A New Framework For Large Vocabulary Keyword Spotting Using Two-Pass Confidence Measure." In Multiconference on "Computational Engineering in Systems Applications. IEEE, 2006. http://dx.doi.org/10.1109/cesa.2006.4281625.

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Han, Chang Woo, Shin Jae Kang, Chul Min Lee, and Nam Soo Kim. "Phone mismatch penalty matrices for two-stage keyword spotting via multi-pass phone recognizer." In Interspeech 2010. ISCA: ISCA, 2010. http://dx.doi.org/10.21437/interspeech.2010-85.

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Chen, Yun-Nung, Yu Huang, Hung-Yi Lee, and Lin-Shan Lee. "Unsupervised two-stage keyword extraction from spoken documents by topic coherence and support vector machine." In ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2012. http://dx.doi.org/10.1109/icassp.2012.6289053.

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De Almeida, João Paulo Dias, and Frederico Araújo Durão. "Improving the Spatial Keyword Preference Query with Linked Open Data." In XXIV Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/webmedia.2018.4551.

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This paper presents a Spatial Keyword Preference Query (SKPQ) enhanced by Linked Open Data. This query selects objects based on the textual description of features in their neighborhood. The spatial relationship between objects and features is explored by the SKPQ using a Spatial Inverted Index. In our approach, the spatial relationship is explored using SPARQL. However, the main benefit of using SPARQL is obtained by measuring the textual relevance between features’ description and user’s keywords. The object description in Linked Open Data is much richer than traditional spatial databases, which leads to a more precise similarity measure than the one employed in the traditional SKPQ. We present an enhanced SKPQ and two experimental evaluations of the proposed approach, comparing it with the traditional SKPQ. The first conducted experiment indicate a relative NDCG improvement of the proposed approach over the traditional SKPQ of 20% when using random query keywords. The second experiment shows that using real query keywords, our approach obtained a significant increase in the MAP score.
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Reports on the topic "Keyword two"

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Malamud, C. Attaching Meaning to Solicitation Class Keywords. RFC Editor, May 2005. http://dx.doi.org/10.17487/rfc4095.

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Paynter, Robin A., Celia Fiordalisi, Elizabeth Stoeger, Eileen Erinoff, Robin Featherstone, Christiane Voisin, and Gaelen P. Adam. A Prospective Comparison of Evidence Synthesis Search Strategies Developed With and Without Text-Mining Tools. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepcmethodsprospectivecomparison.

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Background: In an era of explosive growth in biomedical evidence, improving systematic review (SR) search processes is increasingly critical. Text-mining tools (TMTs) are a potentially powerful resource to improve and streamline search strategy development. Two types of TMTs are especially of interest to searchers: word frequency (useful for identifying most used keyword terms, e.g., PubReminer) and clustering (visualizing common themes, e.g., Carrot2). Objectives: The objectives of this study were to compare the benefits and trade-offs of searches with and without the use of TMTs for evidence synthesis products in real world settings. Specific questions included: (1) Do TMTs decrease the time spent developing search strategies? (2) How do TMTs affect the sensitivity and yield of searches? (3) Do TMTs identify groups of records that can be safely excluded in the search evaluation step? (4) Does the complexity of a systematic review topic affect TMT performance? In addition to quantitative data, we collected librarians' comments on their experiences using TMTs to explore when and how these new tools may be useful in systematic review search¬¬ creation. Methods: In this prospective comparative study, we included seven SR projects, and classified them into simple or complex topics. The project librarian used conventional “usual practice” (UP) methods to create the MEDLINE search strategy, while a paired TMT librarian simultaneously and independently created a search strategy using a variety of TMTs. TMT librarians could choose one or more freely available TMTs per category from a pre-selected list in each of three categories: (1) keyword/phrase tools: AntConc, PubReMiner; (2) subject term tools: MeSH on Demand, PubReMiner, Yale MeSH Analyzer; and (3) strategy evaluation tools: Carrot2, VOSviewer. We collected results from both MEDLINE searches (with and without TMTs), coded every citation’s origin (UP or TMT respectively), deduplicated them, and then sent the citation library to the review team for screening. When the draft report was submitted, we used the final list of included citations to calculate the sensitivity, precision, and number-needed-to-read for each search (with and without TMTs). Separately, we tracked the time spent on various aspects of search creation by each librarian. Simple and complex topics were analyzed separately to provide insight into whether TMTs could be more useful for one type of topic or another. Results: Across all reviews, UP searches seemed to perform better than TMT, but because of the small sample size, none of these differences was statistically significant. UP searches were slightly more sensitive (92% [95% confidence intervals (CI) 85–99%]) than TMT searches (84.9% [95% CI 74.4–95.4%]). The mean number-needed-to-read was 83 (SD 34) for UP and 90 (SD 68) for TMT. Keyword and subject term development using TMTs generally took less time than those developed using UP alone. The average total time was 12 hours (SD 8) to create a complete search strategy by UP librarians, and 5 hours (SD 2) for the TMT librarians. TMTs neither affected search evaluation time nor improved identification of exclusion concepts (irrelevant records) that can be safely removed from the search set. Conclusion: Across all reviews but one, TMT searches were less sensitive than UP searches. For simple SR topics (i.e., single indication–single drug), TMT searches were slightly less sensitive, but reduced time spent in search design. For complex SR topics (e.g., multicomponent interventions), TMT searches were less sensitive than UP searches; nevertheless, in complex reviews, they identified unique eligible citations not found by the UP searches. TMT searches also reduced time spent in search strategy development. For all evidence synthesis types, TMT searches may be more efficient in reviews where comprehensiveness is not paramount, or as an adjunct to UP for evidence syntheses, because they can identify unique includable citations. If TMTs were easier to learn and use, their utility would be increased.
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Lee, Young-A., Helen Sumin Koo, and Seoha Min. Keywords Analysis of ITAA Professionals� Design Proceedings from 1999 to 2017. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8820.

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Rancans, Elmars, Jelena Vrublevska, Ilana Aleskere, Baiba Rezgale, and Anna Sibalova. Mental health and associated factors in the general population of Latvia during the COVID-19 pandemic. Rīga Stradiņš University, February 2021. http://dx.doi.org/10.25143/fk2/0mqsi9.

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Description The goal of the study was to assess mental health, socio-psychological and behavioural aspects in the representative sample of Latvian general population in online survey, and to identify vulnerable groups during COVID-19 pandemic and develop future recommendations. The study was carried out from 6 to 27 July 2020 and was attributable to the period of emergency state from 11 March to 10 June 2020. The protocol included demographic data and also data pertaining to general health, previous self-reported psychiatric history, symptoms of anxiety, clinically significant depression and suicidality, as well as a quality of sleep, sex, family relationships, finance, eating and exercising and religion/spirituality, and their changes during the pandemic. The Center for Epidemiologic Studies Depression scale was used to determine the presence of distress or depression, the Risk Assessment of Suicidality Scale was used to assess suicidal behaviour, current symptoms of anxiety were assessed by the State-Trait Anxiety Inventory form Y. (2021-02-04) Subject Medicine, Health and Life Sciences Keyword: COVID19, pandemic, depression, anxiety, suicidality, mental health, Latvia
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Shen, Dong, Zhuang Xiong, Yangyang Liu, Yan Leng, Houbo Deng, Song Wang, Xiangtong Meng, and Tiejun Liu. Efficacy and safety of Chinese herbal medicine combined with Sorafenib in the treatment of primary liver cancer: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2021. http://dx.doi.org/10.37766/inplasy2021.9.0024.

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The aim of this systematic review is to compare Chinese herbal medicine combined with Sorafenib in terms of efficacy and acceptability in the primary liver cancer to better inform clinical practice. To this end, the proposed systematic review will address the following question: Which is the best choice to reduce Efficacy and safety in Patients with primary liver cancer, Chinese herbal medicine combined with Sorafenib or Sorafenib.this systematic review and meta-analysis will evaluate the efficacy and Sorafenib combined with Chinese herbal medicine in the treatment of PLC. Information sources: We will search the following databases from inception up to September 8, 2021: PubMed, Web of Science, Embase, AMED, Cochrane Library, CNKI, VIP, CBM, and Wanfang. There will be no restrictions regarding publication date or language. We will apply a combination of medical keywords and words, including "Sorafenib", "Chinese herbal medicine" and "primary liver cancer". Additionally, we will manually search all reference lists from relevant systematic reviews to find other eligible studies.
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Lazdane, Gunta, Dace Rezeberga, Ieva Briedite, Elizabete Pumpure, Ieva Pitkevica, Darja Mihailova, and Marta Laura Gravina. Sexual and reproductive health in the time of COVID-19 in Latvia, qualitative research interviews and focus group discussions, 2020 (in Latvian). Rīga Stradiņš University, February 2021. http://dx.doi.org/10.25143/fk2/lxku5a.

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Qualitative research is focused on the influence of COVID-19 pandemic and restriction measures on sexual and reproductive health in Latvia. Results of the anonymous online survey (I-SHARE) of 1173 people living in Latvia age 18 and over were used as a background in finalization the interview and the focus group discussion protocols ensuring better understanding of the influencing factors. Protocols included 9 parts (0.Introduction. 1. COVID-19 general influence, 2. SRH, 3. Communication with health professionals, 4.Access to SRH services, 5.Communication with population incl. three target groups 5.1. Pregnant women, 5.2. People with suspected STIs, 5.3.Women, who require abortion, 6. HIV/COVID-19, 7. External support, 8. Conclusions and recommendations. Data include audiorecords in Latvian of: 1) 11 semi-structures interviews with policy makers including representatives from governmental and non-governmental organizations involved in sexual and reproductive health, information and health service provision. 2) 12 focus group discussions with pregnant women (1), women in postpartum period (3) and their partners (3), people living with HIV (1), health care providers involved in maternal health care and emergency health care for women (4) (2021-02-18) Subject: Medicine, Health and Life Sciences Keywords: Sexual and reproductive health, COVID-19, access to services, Latvia
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S. Abdellatif, Omar. Localizing Human Rights SDGs: Ghana in context. Raisina House, June 2021. http://dx.doi.org/10.52008/gh2021sdg.

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In September 2015, Ghana along all UN member states endorsed the Agenda 2030 Sustainable Development Goals (SDGs) as the cardinal agenda towards achieving a prosperous global future. The SDGs are strongly interdependent, making progress in all goals essential for a country’s achievement of sustainable development. While Ghana and other West African nations have exhibited significant economic and democratic development post-independence. The judiciary system and related legal frameworks, as well as the lack of rule law and political will for safeguarding the human rights of its citizens, falls short of considering violations against minorities. Will Ghana be able to localize human rights related SDGs, given that West African governments historically tended to promote internal security and stability at the expense of universal human rights? This paper focuses on evaluating the commitments made by Ghana towards achieving Agenda 2030, with a particular focus on the SDGs 10 and 16 relating to the promotion of reduced inequalities, peace, justice and accountable institutions. Moreover, this paper also analyzes legal instruments and state laws put in place post Ghana’s democratization in 1992 for the purpose of preventing discrimination and human rights violations in the nation. The article aims to highlight how Ghana’s post-independence political experience, the lack of rule of law, flaws in the judiciary system, and the weak public access to justice are obstacles to its effective localization of human rights SGDs. Those obstacles to Ghana’s compliance with SDGs 10 and 16 are outlined in this paper through a consideration of human rights violations faced by the Ghanaian Muslim and HIV minorities, poor prison conditions, limited public access to justice and the country’s failure to commit to international treaties on human rights. Keywords: Ghana, human rights, rule of law, security, Agenda 2030
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