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Journal articles on the topic 'Rankers'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

Enserink, M. "EDUCATION: Who Ranks the University Rankers?" Science 317, no. 5841 (2007): 1026–28. http://dx.doi.org/10.1126/science.317.5841.1026.

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Perankin, Sue. "What a load of rankers." Journal of Family Planning and Reproductive Health Care 35, no. 2 (2009): 120. http://dx.doi.org/10.1783/147118909787931942.

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3

Sohail, Shahab Saquib, Asfia Aziz, Rashid Ali, Syed Hamid Hasan, Dag Øivind Madsen, and M. Afshar Alam. "Human-Centric Aggregation via Ordered Weighted Aggregation for Ranked Recommendation in Recommender Systems." Applied System Innovation 6, no. 2 (2023): 36. http://dx.doi.org/10.3390/asi6020036.

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In this paper, we propose an approach to recommender systems that incorporates human-centric aggregation via Ordered Weighted Aggregation (OWA) to prioritize the suggestions of expert rankers over the usual recommendations. We advocate for ranked recommendations where rankers are assigned weights based on their ranking position. Our approach recommends books to university students using linguistic data summaries and the OWA technique. We assign higher weights to the highest-ranked university to improve recommendation quality. Our approach is evaluated on eight parameters and outperforms tradit

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Albahem, Ameer, Damiano Spina, Falk Scholer, and Lawrence Cavedon. "Component-based Analysis of Dynamic Search Performance." ACM Transactions on Information Systems 40, no. 3 (2022): 1–47. http://dx.doi.org/10.1145/3483237.

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In many search scenarios, such as exploratory, comparative, or survey-oriented search, users interact with dynamic search systems to satisfy multi-aspect information needs. These systems utilize different dynamic approaches that exploit various user feedback granularity types. Although studies have provided insights about the role of many components of these systems, they used black-box and isolated experimental setups. Therefore, the effects of these components or their interactions are still not well understood. We address this by following a methodology based on Analysis of Variance (ANOVA)

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5

Singh, Ambuj K., and Mohamed G. Gouda. "Rankers: a classification of synchronization problems." Science of Computer Programming 21, no. 3 (1993): 191–223. http://dx.doi.org/10.1016/0167-6423(93)90009-e.

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6

WANG, HUANJING, TAGHI M. KHOSHGOFTAAR, JASON VAN HULSE, and KEHAN GAO. "METRIC SELECTION FOR SOFTWARE DEFECT PREDICTION." International Journal of Software Engineering and Knowledge Engineering 21, no. 02 (2011): 237–57. http://dx.doi.org/10.1142/s0218194011005256.

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Real-world software systems are becoming larger, more complex, and much more unpredictable. Software systems face many risks in their life cycles. Software practitioners strive to improve software quality by constructing defect prediction models using metric (feature) selection techniques. Finding faulty components in a software system can lead to a more reliable final system and reduce development and maintenance costs. This paper presents an empirical study of six commonly used filter-based software metric rankers and our proposed ensemble technique using rank ordering of the features (mean

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Hullermeier, E., and S. Vanderlooy. "Why Fuzzy Decision Trees are Good Rankers." IEEE Transactions on Fuzzy Systems 17, no. 6 (2009): 1233–44. http://dx.doi.org/10.1109/tfuzz.2009.2026640.

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Betz, Gregor, and Kyle Richardson. "Probabilistic coherence, logical consistency, and Bayesian learning: Neural language models as epistemic agents." PLOS ONE 18, no. 2 (2023): e0281372. http://dx.doi.org/10.1371/journal.pone.0281372.

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It is argued that suitably trained neural language models exhibit key properties of epistemic agency: they hold probabilistically coherent and logically consistent degrees of belief, which they can rationally revise in the face of novel evidence. To this purpose, we conduct computational experiments with rankers: T5 models [Raffel et al. 2020] that are pretrained on carefully designed synthetic corpora. Moreover, we introduce a procedure for eliciting a model’s degrees of belief, and define numerical metrics that measure the extent to which given degrees of belief violate (probabilistic, logic

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WANG, HUANJING, TAGHI M. KHOSHGOFTAAR, and QIANHUI (ALTHEA) LIANG. "A STUDY OF SOFTWARE METRIC SELECTION TECHNIQUES: STABILITY ANALYSIS AND DEFECT PREDICTION MODEL PERFORMANCE." International Journal on Artificial Intelligence Tools 22, no. 05 (2013): 1360010. http://dx.doi.org/10.1142/s0218213013600105.

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Software metrics (features or attributes) are collected during the software development cycle. Metric selection is one of the most important preprocessing steps in the process of building defect prediction models and may improve the final prediction result. However, the addition or removal of program modules (instances or samples) can alter the subsets chosen by a feature selection technique, rendering the previously-selected feature sets invalid. Very limited research have been done considering both stability (or robustness) and defect prediction model performance together in the software eng

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Natasa, Rasulic, Delic Dusica, Stajkovic-Srbinovic Olivera, Kuzmanovic Djordje, and Josic Dragana. "Microbiological properties of rankers in the region of Western Serbia." Ratarstvo i povrtarstvo 49, no. 2 (2012): 173–76. http://dx.doi.org/10.5937/ratpov49-1227.

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11

Bertran, Pascal, Jean-Pierre Texier, and José Meireles. "Micromorphology of atlantic rankers on the coast of northern Portugal." CATENA 18, no. 3-4 (1991): 325–43. http://dx.doi.org/10.1016/0341-8162(91)90029-w.

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12

Velldal, Erik, Lilja Øvrelid, Jonathon Read, and Stephan Oepen. "Speculation and Negation: Rules, Rankers, and the Role of Syntax." Computational Linguistics 38, no. 2 (2012): 369–410. http://dx.doi.org/10.1162/coli_a_00126.

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This article explores a combination of deep and shallow approaches to the problem of resolving the scope of speculation and negation within a sentence, specifically in the domain of biomedical research literature. The first part of the article focuses on speculation. After first showing how speculation cues can be accurately identified using a very simple classifier informed only by local lexical context, we go on to explore two different syntactic approaches to resolving the in-sentence scopes of these cues. Whereas one uses manually crafted rules operating over dependency structures, the oth

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13

Weber, Joseph. "Ranking Journalism and Mass Communications Programs." Journalism & Mass Communication Educator 72, no. 1 (2016): 37–51. http://dx.doi.org/10.1177/1077695815623663.

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Rankings of universities and colleges are common and controversial. However, few rankers produce useful lists that assess and compare journalism and mass communications programs. The few currently available involve superficial reputational surveys or are less than transparent about their methodology. To determine potential criteria for a useful ranking, this article reports the results of a survey of administrators and educators in a broad cross-section of such programs. The survey finds broad support among respondents for the idea of ranking and, further, details criteria that respondents sai

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Lim, Miguel Antonio. "The building of weak expertise: the work of global university rankers." Higher Education 75, no. 3 (2017): 415–30. http://dx.doi.org/10.1007/s10734-017-0147-8.

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Chen, Min, Soohyun Ahn, Xinlei Wang, and Johan Lim. "Generalized Isotonized Mean Estimators for Judgment Post-stratification with Multiple Rankers." Journal of Agricultural, Biological, and Environmental Statistics 19, no. 4 (2014): 405–18. http://dx.doi.org/10.1007/s13253-014-0178-x.

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Singh, Inderpal. "A Snapshot of IIT–JEE All India One Rankers (1979–2018)." Current Science 115, no. 6 (2018): 1017. http://dx.doi.org/10.18520/cs/v115/i6/1017-1017.

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Hahn, Sun Hwa, Sung Bae Choi, and Hyun Kyoo Choi. "Real Time Evaluation of Overseas Technology Trend Information." Key Engineering Materials 277-279 (January 2005): 193–99. http://dx.doi.org/10.4028/www.scientific.net/kem.277-279.193.

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In the era of global competition, international competitiveness depends greatly on the prompt provision of overseas information. In the field of Science and Technology, it is very important to catch the research or technical trends of advanced countries as quickly as possible. KISTI has been providing an overseas S&T trend (tech-trend) information service since 1993. In 2002, about 16,000 tech-trend news items were selected and translated by more than 100 reporters who are domain experts residing both in Korea and abroad. This information is provided to end users via various types of servi

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Li, Fei, Jia Jia Huang, Min Peng, and Rui Cai. "Feedback Ranking Method in Topic-Based Retrieval." Applied Mechanics and Materials 339 (July 2013): 269–74. http://dx.doi.org/10.4028/www.scientific.net/amm.339.269.

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Ranking has an extensive application in analyzing public opinions of social network (SN), such as searching the most hot topic or the most relevant articles that the user concerning. In these scenarios, due to the different requirements of users, there is need to rank the object set from different aspects and to re-rank the object set by integrating these different results to acquire a synthesize rank result.In this paper, we proposed a novel Feedback Ranking method, which lets two basic rankers learn from each other during the mutual process by providing each one's result as feedback to the o

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Cerruela-García, Gonzalo, José Pérez-Parra Toledano, Aída de Haro-García, and Nicolás García-Pedrajas. "Influence of feature rankers in the construction of molecular activity prediction models." Journal of Computer-Aided Molecular Design 34, no. 3 (2019): 305–25. http://dx.doi.org/10.1007/s10822-019-00273-1.

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Pan, Ziyang, Kangjia Fan, Rongyu Liu, and Daifeng Li. "Towards Robust Neural Rankers with Large Language Model: A Contrastive Training Approach." Applied Sciences 13, no. 18 (2023): 10148. http://dx.doi.org/10.3390/app131810148.

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Pre-trained language model-based neural rankers have been widely applied in information retrieval (IR). However, the robustness issue of current IR models has not received sufficient attention, which could significantly impact the user experience in practical applications. In this study, we focus on the defensive ability of IR models against query attacks while guaranteeing their retrieval performance. We discover that improving the robustness of IR models not only requires a focus on model architecture and training methods but is also closely related to the quality of data. Different from pre

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Rahman, A., and V. Ng. "Narrowing the Modeling Gap: A Cluster-Ranking Approach to Coreference Resolution." Journal of Artificial Intelligence Research 40 (February 25, 2011): 469–521. http://dx.doi.org/10.1613/jair.3120.

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Traditional learning-based coreference resolvers operate by training the mention-pair model for determining whether two mentions are coreferent or not. Though conceptually simple and easy to understand, the mention-pair model is linguistically rather unappealing and lags far behind the heuristic-based coreference models proposed in the pre-statistical NLP era in terms of sophistication. Two independent lines of recent research have attempted to improve the mention-pair model, one by acquiring the mention-ranking model to rank preceding mentions for a given anaphor, and the other by training th

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Burgess, Matthew, Alessandra Mazzia, Eytan Adar, and Michael Cafarella. "Leveraging Noisy Lists for Social Feed Ranking." Proceedings of the International AAAI Conference on Web and Social Media 7, no. 1 (2021): 31–40. http://dx.doi.org/10.1609/icwsm.v7i1.14424.

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Active users of social networks are subjected to extreme information overload, as they tend to follow hundreds (or even thousands of other users). Aggregated social feeds on sites like Twitter are insufficient, showing superfluous content and not allowing users to separate their topics of interest or place a priority on the content being pushed to them by their “friends.” The major social network platforms have begun to implement various features to help users organize their feeds, but these solutions require significant human effort to function properly. In practice, the burden is so high tha

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Li, Chang. "Optimizing ranking systems online as bandits." ACM SIGIR Forum 55, no. 2 (2021): 1–2. http://dx.doi.org/10.1145/3527546.3527575.

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Ranking system is the core part of modern retrieval and recommender systems, where the goal is to rank candidate items given user contexts. Optimizing ranking systems online means that the deployed system can serve users' requests, e.g., queries in the web search, and optimize the ranking policy by learning from user interactions, e.g., clicks. Bandit is a general online learning framework and can be used in our optimization task. However, due to the unique features of ranking, there are several challenges in designing bandit algorithms for ranking system optimization. In this thesis, we study

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24

Hemais, Carlos A., and Iain G. Liddell. "‘Rankers’ versus Tickers': A Useful Way to Solve a Methodological Problem in Market Research." Market Research Society. Journal. 36, no. 4 (1994): 1–4. http://dx.doi.org/10.1177/147078539403600407.

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25

Field, Jeremy, and Michael A. Cant. "Social stability and helping in small animal societies." Philosophical Transactions of the Royal Society B: Biological Sciences 364, no. 1533 (2009): 3181–89. http://dx.doi.org/10.1098/rstb.2009.0110.

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In primitively eusocial societies, all individuals can potentially reproduce independently. The key fact that we focus on in this paper is that individuals in such societies instead often queue to inherit breeding positions. Queuing leads to systematic differences in expected future fitness. We first discuss the implications this has for variation in behaviour. For example, because helpers nearer to the front of the queue have more to lose, they should work less hard to rear the dominant's offspring. However, higher rankers may be more aggressive than low rankers, even if they risk injury in t

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Clarke, Charles L. A., Alexandra Vtyurina, and Mark D. Smucker. "Assessing Top- Preferences." ACM Transactions on Information Systems 39, no. 3 (2021): 1–21. http://dx.doi.org/10.1145/3451161.

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Assessors make preference judgments faster and more consistently than graded judgments. Preference judgments can also recognize distinctions between items that appear equivalent under graded judgments. Unfortunately, preference judgments can require more than linear effort to fully order a pool of items, and evaluation measures for preference judgments are not as well established as those for graded judgments, such as NDCG. In this article, we explore the assessment process for partial preference judgments, with the aim of identifying and ordering the top items in the pool, rather than fully o

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Wang, Yanshan, In-Chan Choi, and Hongfang Liu. "Generalized ensemble model for document ranking in information retrieval." Computer Science and Information Systems 14, no. 1 (2017): 123–51. http://dx.doi.org/10.2298/csis160229042w.

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A generalized ensemble model (gEnM) for document ranking is proposed in this paper. The gEnM linearly combines the document retrieval models and tries to retrieve relevant documents at high positions. In order to obtain the optimal linear combination of multiple document retrieval models or rankers, an optimization program is formulated by directly maximizing the mean average precision. Both supervised and unsupervised learning algorithms are presented to solve this program. For the supervised scheme, two approaches are considered based on the data setting, namely batch and online setting. In

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Ringel, Leopold, Jelena Brankovic, and Tobias Werron. "The Organizational Engine of Rankings: Connecting “New” and “Old” Institutionalism." Politics and Governance 8, no. 2 (2020): 36–47. http://dx.doi.org/10.17645/pag.v8i2.2576.

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When explaining the ubiquity of rankings, researchers tend to emphasize macro or contextual phenomena, such as the power of or the trust in numbers, neoliberal forces, or a general spirit of competition. Meanwhile, the properties of rankers are rarely, if at all, taken into account. In contrast to the received wisdom, we argue that the institutionalization of rankings in different fields is also contingent upon another, often-neglected factor: Over time, rankers have become increasingly more organized. To investigate the role of ranking organizations, we look into the distinct properties of pr

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Reed, John R. "FIGHTING WORDS: TWO PROLETARIAN MILITARY NOVELS OF THE CRIMEAN PERIOD." Victorian Literature and Culture 36, no. 2 (2008): 331–42. http://dx.doi.org/10.1017/s1060150308080200.

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About a decade after Waterloo, there arose in England a subgenre of fiction that can be called the military novel. George Robert Gleig is credited with originating the genre with a fictionalized autobiography entitled The Subaltern, which appeared serially in Blackwood's Magazine in 1825 and was subsequently published as a book. Military memoirs were appearing from soon after the end of the Napoleonic Wars, and the military novel was an outgrowth of that literature. Many of the authors of military novels had themselves served in the army, but the most notable of them all, Charles Lever, had no

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Blagojevic, Velibor, Milan Knezevic, Olivera Kosanin, Marijana Kapovic-Solomun, Radovan Lucic, and Sasa Eremija. "Edaphic characteristics of Austrian pine (Pinus nigra Arn.) forests in the Visegrad area." Archives of Biological Sciences 68, no. 2 (2016): 355–62. http://dx.doi.org/10.2298/abs150706027b.

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This paper presents the results of soil research in Austrian pine (Pinus nigra Arn.) forest communities in the Visegrad area, carried out to determine the basic soil characteristics and eco-production potential of forest habitats as an important basis and framework for the successful management of these forests on the principles of sustainable development. Austrian pine forests in this region are an important and ecologically valuable community. The complexity of the geological structure and relief dynamics are dominant environmental factors that condition the expressed variability of soils in

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KAAL, J., M. COSTA-CASAIS, C. FERRO-VÁZQUEZ, X. PONTEVEDRA-POMBAL, and A. MARTÍNEZ-CORTIZAS. "Soil Formation of “Atlantic Rankers” from NW Spain—A High Resolution Aluminium and Iron Fractionation Study." Pedosphere 18, no. 4 (2008): 441–53. http://dx.doi.org/10.1016/s1002-0160(08)60035-1.

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Alvo, Mayer, and Hang Xu. "The Analysis of Ranking Data Using Score Functions and Penalized Likelihood." Austrian Journal of Statistics 46, no. 1 (2017): 15–32. http://dx.doi.org/10.17713/ajs.v46i1.133.

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In this paper, we consider different score functions in order summarize certain characteristics for one and two sample ranking data sets. Our approach is flexible and is based on embedding the nonparametric problem in a parametric framework. We make use of the von Mises-Fisher distribution to approximate the normalizing constant in our model. In order to gain further insight in the data, we make use of penalized likelihood to narrow down the number of items where the rankers differ. We applied our method on various real life data sets and we conclude that our methodology is consistent with the

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Collins, J. F., and T. Reeves. "Soil-geological and Soil-geomorphological relationships in Avondale Forest Park, Co. Wicklow." Irish Geography 13, no. 1 (2016): 54–64. http://dx.doi.org/10.55650/igj.1980.794.

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The relationships between parent materials, geomorphic features and soil types in Avondale Forest Park are reported and discussed. The occurrence of contrasting rocks (acid tuffs, diorite, dolerite and shales) and a variety of glacial and fluvial materials are largely responsible for the heterogeneity of the soils. Soil Orders/Great Groups include Podzols, Brown Podzolics, Brown Earths, Gleys, Lithosols, Regosols and Rankers. The soils are also placed in the Subgroups of the new U.S. Soil Taxonomy. The influence of glacial, periglacial and post-glacial conditions on the soil distribution patte

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Dimitrov, Georgi, and Ivaylo Kirilov. "Comparative characteristics of Ferric Leptosols." Bulgarian Journal of Soil Science 6, no. 2 (2021): 125–32. https://doi.org/10.5281/zenodo.5767844.

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The present study aims to establish the genetic-diagnostic characteristic of Ferric Leptosols and Nudilithic Ferric Leptosols which are formed on rocks with high iron content. Thise soils are spread over hard red sandstones, quartzites and granite gneisses of the ridge parts and the upper (eluvium) parts of the slopes in the hilly part of the northeastern Sofia filed. The performed diagnostic assessment and characteristics give grounds to include the studied soils in the Bulgarian National Soil Classification at subtype taxonomic level as Ferric Lithozems and Ferric Rankers, and in WRB as Nudi

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Dowlatshahi, Mohammad, Vali Derhami, and Hossein Nezamabadi-pour. "Ensemble of Filter-Based Rankers to Guide an Epsilon-Greedy Swarm Optimizer for High-Dimensional Feature Subset Selection." Information 8, no. 4 (2017): 152. http://dx.doi.org/10.3390/info8040152.

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Cords, Marina. "Variable participation in the defense of communal feeding territories by blue monkeys in the Kakamega Forest, Kenya." Behaviour 144, no. 12 (2007): 1537–50. http://dx.doi.org/10.1163/156853907782512100.

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AbstractWhile blue monkey groups often defend feeding territories against their neighbours, group members do not participate equally. Data spanning 5 years and 5 wild groups were used to address factors that might explain variable participation, both across age-sex classes and among individual adult females. Adult females participated most, although there was a 9-fold difference between those individuals who participated most and least. Juvenile participation increased with age, but female juveniles participated more than males in each cohort. Male juveniles reduced participation as they appro

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Kořenková, Lucia, and Martin Urík. "Basic soil properties as a factor controlling the occurrence and intensity of water repellency in rankers of the White Carpathians." Folia Forestalia Polonica 57, no. 3 (2015): 129–37. http://dx.doi.org/10.1515/ffp-2015-0013.

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Abstract Water repellency in soils is controlled by many different factors, basic physical and chemical properties might be considered the crucial ones. For the purpose of this study, 12 sites were selected and sampled (0–20 cm depth) in the White Carpathians. Repellency tests were conducted under laboratory conditions in triplicate using water drop penetration time (WDPT) test and the molarity of ethanol droplet (MED) test. Results of WDPT measurements showed that three samples were marked by slight to extreme water repellency. Regarding the relationship between WDPT/MED and tested soil prope

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Kořenková, Lucia, and Martin Urík. "Basic soil properties as a factor controlling the occurrence and intensity of water repellency in rankers of the White Carpathians." Folia Forestalia Polonica, Series A - Forestry 57 (3) (December 10, 2015): 129–37. https://doi.org/10.1515/ffp-2015-0013.

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Water repellency in soils is controlled by many different factors, basic physical and chemical properties might be considered the crucial ones. For the purpose of this study, 12 sites were selected and sampled (0–20 cm depth) in the White Carpathians. Repellency tests were conducted under laboratory conditions in triplicate using water drop penetration time (WDPT) test and the molarity of ethanol droplet (MED) test. Results of WDPT measurements showed that three samples were marked by slight to extreme water repellency. Regarding the relationship between WDPT/MED and tested soil properti

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Ozturk, Omer, and Olena Kravchuk. "Judgment Post-stratified Assessment Combining Ranking Information from Multiple Sources, with a Field Phenotyping Example." Journal of Agricultural, Biological and Environmental Statistics 26, no. 3 (2021): 329–48. http://dx.doi.org/10.1007/s13253-021-00439-1.

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AbstractThis paper presents novel estimators for a judgment post-stratified (JPS) sample, which combine the ranking information from different methods or rankers. A JPS sample divides the units in the original simple random sample (SRS) into several ranking groups based on the relative positions (ranks) of the units in their individual small comparison sets. Ranks in the comparison sets may be assigned with several different ranking procedures. When considered separately, each ranking method leads to a different JPS sample estimator of the population mean or total. Here we introduce equally or

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Altbach, Philip G., and Hans De Wit. "Too Much Academic Research Is Being Published." International Higher Education, no. 96 (December 5, 2018): 2–3. http://dx.doi.org/10.6017/ihe.2019.96.10767.

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There is a crisis in academic publishing and in the global knowledge-distribution system in general—there is too much pressure on top journals, there are too many books and articles of marginal quality, predatory journals are on the rise, and there is a tremendous pressure on academics worldwide to publish. We propose recognizing that most universities and most academics, globally, focus on teaching, and that the large majority of universities acknowledge their important roles as teaching-focused and do not seek to become research-intensive institutions. We call for quality, but also for contr

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Arora-Jonsson, Stefan, Nils Brunsson, and Raimund Hasse. "Where Does Competition Come From? The role of organization." Organization Theory 1, no. 1 (2020): 263178771988997. http://dx.doi.org/10.1177/2631787719889977.

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Although an ever-increasing number and types of organizations are expected to compete, the origins of competition have been a neglected topic. By assuming that competition simply emerges, organization theory currently lacks an understanding of when and why organizations compete. In this article we critically review and extend existing literatures on competition to offer an organizational theorization of the origins of competition. We argue that competition is the social construction of its four constitutive elements: actors, relationships, scarcity and desire. Furthermore, we show that three t

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Gavrilović, Bojan, Gordana Tomović, Marjan Niketić, Milan Milenković, Sava Simić, and Milan Radovanović. "Geoecological characteristics of plant endemism in the Balkan part of Serbia." Botanica Serbica 41, no. 2 (2017): 177–97. https://doi.org/10.5281/zenodo.1026451.

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Due to complex and heterogeneous geographical characteristics, Serbia is represented by a diverse flora with many endemic taxa of vascular plants. Investigation of plant endemics stored in the national herbaria and perusal of extensive literature sources indicate that 46 taxa occur exclusively within the political borders of the Republic of Serbia, while 104 taxa can also be found in adjacent countries of the Balkan Peninsula. These national and subendemics are presented in the form of a list together with their ecological and geographical characteristics. Centres of endemism are located in th

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Yang, Hua, and Teresa Gonçalves. "MultiLTR: Text Ranking with a Multi-Stage Learning-to-Rank Approach." Information 16, no. 4 (2025): 308. https://doi.org/10.3390/info16040308.

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The division of retrieval into multiple stages has evolved to balance efficiency and effectiveness among various ranking models. Faster but less accurate models are used to retrieve results from the entire corpus. Slower yet more precise models refine the ranking within the top candidate list. This study proposes a multi-stage learning-to-rank (MultiLTR) method. MultiLTR applies learning-to-rank techniques across multiple stages. It incorporates text from different fields such as titles, body content, and abstracts to produce a more comprehensive and accurate ranking. MultiLTR iteratively refi

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Sharifai, Abdulrauf Garba, and Zurinahni Binti Zainol. "Multiple Filter-Based Rankers to Guide Hybrid Grasshopper Optimization Algorithm and Simulated Annealing for Feature Selection With High Dimensional Multi-Class Imbalanced Datasets." IEEE Access 9 (2021): 74127–42. http://dx.doi.org/10.1109/access.2021.3081366.

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Cao, Qian, and Baris Kumru. "Polymeric Carbon Nitride Armored Centimeter-Wide Organic Droplets in Water for All-Liquid Heterophase Emission Technology." Polymers 12, no. 8 (2020): 1626. http://dx.doi.org/10.3390/polym12081626.

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High potential of emission chemistry has been visualized in many fields, from sensors and imaging to displays. In general, conjugated polymers are the top rankers for such chemistry, despite the fact that they bring solubility problems, high expenses, toxicity and demanding synthesis. Metal-free polymeric semiconductor graphitic carbon nitride (g-CN) has been an attractive candidate for visible light-induced photocatalysis, and its emission properties have been optimized and explored recently. Herein, we present modified g-CN nanoparticles as organodispersible conjugated polymer materials to b

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GAO, KEHAN, TAGHI M. KHOSHGOFTAAR, and RANDALL WALD. "THE USE OF UNDER- AND OVERSAMPLING WITHIN ENSEMBLE FEATURE SELECTION AND CLASSIFICATION FOR SOFTWARE QUALITY PREDICTION." International Journal of Reliability, Quality and Safety Engineering 21, no. 01 (2014): 1450004. http://dx.doi.org/10.1142/s0218539314500041.

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Software quality prediction models are useful tools for creating high quality software products. The general process is that practitioners use software metrics and defect data along with various data mining techniques to build classification models for identifying potentially faulty program modules, thereby enabling effective project resource allocation. The predictive accuracy of these classification models is often affected by the quality of input data. Two main problems which can affect the quality of input data are high dimensionality (too many independent attributes in a dataset) and clas

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Waldhardt, R., K. Fuhr-Bossdorf, and A. Otte. "The significance of the seed bank as a potential for the reestablishment of arable-land vegetation in a marginal cultivated landscape." Web Ecology 2, no. 1 (2001): 83–87. http://dx.doi.org/10.5194/we-2-83-2001.

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Abstract. As part of the German Research Foundation (DFG) project “Land Use Concepts for Marginal Regions”, since 1997 we have made analyses of the seed bank of 22 cultivated allotments, as well as of 15 meadow/pasture and 16 fallow allotments on former arable land of the Lahn-Dill Highlands, a marginal cultivated landscape in Hesse, Germany. One aim of this study is to determine according to which dynamic laws the seed bank of arable-land weeds is depleted after cultivation is abandoned. Depending on the intensity of the arable land use, the seed banks of rankers and cambisols that are presen

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Borandag, Emin, Akin Ozcift, Deniz Kilinc, and Fatih Yucalar. "Majority vote feature selection algorithm in software fault prediction." Computer Science and Information Systems 16, no. 2 (2019): 515–39. http://dx.doi.org/10.2298/csis180312039b.

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Identification and location of defects in software projects is an important task to improve software quality and to reduce software test effort estimation cost. In software fault prediction domain, it is known that 20% of the modules will in general contain about 80% of the faults. In order to minimize cost and effort, it is considerably important to identify those most error prone modules precisely and correct them in time. Machine Learning (ML) algorithms are frequently used to locate error prone modules automatically. Furthermore, the performance of the algorithms is closely related to dete

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Ratknić, Mihailo, Ljubinko Rakonjac, Tatjana Ratknić, and Sonja Braunović. "Beech and fir forest resources in the Pešter plain area." Sustainable Forestry: Collection, no. 65-66 (2012): 41–50. http://dx.doi.org/10.5937/sustfor1265041r.

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According to EUNIS classification, the analysed stands belong to a mixed beech-fir forest type (G4.61). The soils are eutric cambisol, eutric rankers, distric cambisol and luvisol. 65 plants were identified, out of which 6 tree species, 9 shrub species and 50 ground flora species. The ecological indices have the following averages values: humidity from 2.90 to 3.00, soil chemical reaction from 2.71 to 3.15, nutrient matter from 2.55 to 2.83, light from 2.28 to 2.60 and temperature from 2.56 to 3.07. Out of the total number of recorded plants, 29, that is, 46.0% are medicinal, namely; 4 species

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Tsai, Chen-Tse, and Dan Roth. "Concept Grounding to Multiple Knowledge Bases via Indirect Supervision." Transactions of the Association for Computational Linguistics 4 (December 2016): 141–54. http://dx.doi.org/10.1162/tacl_a_00089.

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We consider the problem of disambiguating concept mentions appearing in documents and grounding them in multiple knowledge bases, where each knowledge base addresses some aspects of the domain. This problem poses a few additional challenges beyond those addressed in the popular Wikification problem. Key among them is that most knowledge bases do not contain the rich textual and structural information Wikipedia does; consequently, the main supervision signal used to train Wikification rankers does not exist anymore. In this work we develop an algorithmic approach that, by carefully examining th

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