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1

Huda, Yousif Khattab, Akram Mohammed Subhi Abbas Anas, Jameel Sachet Shaker, and Bohdan Morklyanyk. "The impact of hawkish biases on group decision-making processes." ENCUENTROS. Revista de Ciencias Humanas, Teoría Social y Pensamiento Crítico. 23, Universidad Nacional Experimental Rafael Maria Baralt. (2024): 529–47. https://doi.org/10.5281/zenodo.14291730.

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The presence of hawkish biases, defined by a strong inclination towards confrontational and forceful techniques, significantly impacts the complexities of collective decision-making. The main objective of this study is to thoroughly analyze the influence of Hawkish biases on the mechanisms of collective decision-making. This research aims to determine the precise processes by which these biases influence group dynamics and eventually impact decision resultsThe technique involves a comprehensive analysis of existing literature, including empirical studies and theoretical frameworks, to examine
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2

van Aaken, Anne, and Jürgen Kurtz. "Beyond Rational Choice: International Trade Law and The Behavioral Political Economy of Protectionism." Journal of International Economic Law 22, no. 4 (2019): 601–28. http://dx.doi.org/10.1093/jiel/jgz034.

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ABSTRACT The classic political economy of trade models state behavior on the international plane by reference to the formation of domestic interests. Voters, interest groups, and politicians are rational actors in this model, pursuing their economic preferences without cognitive or motivational distortions. This article questions the sufficiency of the rational choice model in the formation of contemporary trade policy. Starting from the classic political economy story, this article explores real-world deviations from rationally expected outcomes by drawing on cognitive psychology. Using both
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3

Bednarz, James C., and Timothy J. Hayden. "Skewed Brood Sex Ratio and Sex-Biased Hatching Sequence in Harris's Hawks." American Naturalist 137, no. 1 (1991): 116–32. http://dx.doi.org/10.1086/285149.

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4

Galloway, Alexander R. "The Gender of Math." differences 32, no. 3 (2021): 1–24. http://dx.doi.org/10.1215/10407391-9479681.

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The politics of math are of newfound concern today, due to the outsize influence of algorithms and code in contemporary life. While only a few years ago, tech authors were still hawking Silicon Valley as the great hope for humanity, today one is more likely to hear how Big Tech increases social inequality, how algorithms are racist, and how math is a weapon. Do algorithms discriminate along gendered lines? Do mathematical systems harbor an essential bias? This essay shows that mathematics has long been defined through an elemental gendering, that within such typing there exists a prohibition o
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5

Hsiung, Chi-Ping, and Erin Chiou. "Attribution Biases and Trust Development in Physical Human-Machine Coordination: Blaming Yourself, Your Partner or an Unexpected Event." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 211. http://dx.doi.org/10.1177/1071181319631039.

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Reading partners’ actions correctly is essential for successful coordination, but interpretation does not always reflect reality. Attribution biases, such as self-serving and correspondence biases, lead people to misinterpret their partners’ actions and falsely assign blame after a surprise, or unexpected event. These biases further influence people’s trust in their partners, including machine partners (Muir, 1987; Madhavan & Wiegmann, 2004). Advances in robotics have allowed for robots to partner with people at work and be treated socially (Young, Hawkins, Sharlin & Igarashi, 2009). H
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6

N.Bharatha Devi. "A New Design of Custom Optimized Cnn-Lstm Assists to Detect Network Anomaly Using Categorical Data." Journal of Electrical Systems 20, no. 3 (2024): 1812–22. http://dx.doi.org/10.52783/jes.3675.

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For traditional intrusion detection model, the system effectiveness is fully based on training dataset and feature selection. During feature selection, it needs more labour charge and trusted mainly on expert’s knowledge. Moreover, the training dataset contains more imbalanced data which in terms model tends to be biased. Here, an automatic approach is introduced to correct deficiency in the system. In this paper, the author proposes novel network anomaly detection (NID) build using categorical data. A model has to be designed with modified form of deep neural network primarily utilized for de
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Siewierska, Anna, and Dik Bakker. "The Distribution of Subject and Object Agreement and Word Order Type." Studies in Language 20, no. 1 (1996): 115–61. http://dx.doi.org/10.1075/sl.20.1.06sie.

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The article examines the distribution and formal realization of Subject and Object agreement markers in different word order types on the basis of a sample of 237 languages. Special attention is paid to the genetic and areal stratification of agreement markers and the impact of these two parameters on the relationship between agreement and word order type emerging from this investigation as opposed to those of previous studies, especially that of Hawkins & Gilligan (1988) and Nichols (1992). The relationship between agreement and word order type is considered in the light of the currently
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8

Dodd, Luke E., Michael J. Lacki, Joseph S. Johnson, and Lynne K. Rieske. "Prey Size and Dietary Niche of Rafinesque's Big-Eared Bat (Corynorhinus rafinesquii)." Southeastern Naturalist 14, no. 4 (2015): 685–96. https://doi.org/10.5281/zenodo.13488680.

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(Uploaded by Plazi for the Bat Literature Project) Bats in the genus Corynorhinus possess a suite of morphological characters that permit them to effectively use both gleaning and aerial-hawking foraging strategies to capture Lepidoptera. Consequently, they occupy a specialized feeding niche within North American bat assemblages and are of particular interest for dietary studies. We collected fecal pellets from a colony of C. rafinesquii (Rafinesque's Big-Eared Bat) at Mammoth Cave National Park during August–October 2011 and amplified cytochrome-c oxidase subunit 1 fragments of prey from thes
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9

Dodd, Luke E., Michael J. Lacki, Joseph S. Johnson, and Lynne K. Rieske. "Prey Size and Dietary Niche of Rafinesque's Big-Eared Bat (Corynorhinus rafinesquii)." Southeastern Naturalist 14, no. 4 (2015): 685–96. https://doi.org/10.5281/zenodo.13488680.

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(Uploaded by Plazi for the Bat Literature Project) Bats in the genus Corynorhinus possess a suite of morphological characters that permit them to effectively use both gleaning and aerial-hawking foraging strategies to capture Lepidoptera. Consequently, they occupy a specialized feeding niche within North American bat assemblages and are of particular interest for dietary studies. We collected fecal pellets from a colony of C. rafinesquii (Rafinesque's Big-Eared Bat) at Mammoth Cave National Park during August–October 2011 and amplified cytochrome-c oxidase subunit 1 fragments of prey from thes
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10

Dodd, Luke E., Michael J. Lacki, Joseph S. Johnson, and Lynne K. Rieske. "Prey Size and Dietary Niche of Rafinesque's Big-Eared Bat (Corynorhinus rafinesquii)." Southeastern Naturalist 14, no. 4 (2015): 685–96. https://doi.org/10.5281/zenodo.13488680.

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(Uploaded by Plazi for the Bat Literature Project) Bats in the genus Corynorhinus possess a suite of morphological characters that permit them to effectively use both gleaning and aerial-hawking foraging strategies to capture Lepidoptera. Consequently, they occupy a specialized feeding niche within North American bat assemblages and are of particular interest for dietary studies. We collected fecal pellets from a colony of C. rafinesquii (Rafinesque's Big-Eared Bat) at Mammoth Cave National Park during August–October 2011 and amplified cytochrome-c oxidase subunit 1 fragments of prey from thes
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11

Dodd, Luke E., Michael J. Lacki, Joseph S. Johnson, and Lynne K. Rieske. "Prey Size and Dietary Niche of Rafinesque's Big-Eared Bat (Corynorhinus rafinesquii)." Southeastern Naturalist 14, no. 4 (2015): 685–96. https://doi.org/10.5281/zenodo.13488680.

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(Uploaded by Plazi for the Bat Literature Project) Bats in the genus Corynorhinus possess a suite of morphological characters that permit them to effectively use both gleaning and aerial-hawking foraging strategies to capture Lepidoptera. Consequently, they occupy a specialized feeding niche within North American bat assemblages and are of particular interest for dietary studies. We collected fecal pellets from a colony of C. rafinesquii (Rafinesque's Big-Eared Bat) at Mammoth Cave National Park during August–October 2011 and amplified cytochrome-c oxidase subunit 1 fragments of prey from thes
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12

Speakman, J. R. "The impact of predation by birds on bat populations in the British Isles." Mammal Review 21, no. 3 (1991): 123–42. https://doi.org/10.5281/zenodo.14816170.

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(Uploaded by Plazi for the Bat Literature Project) Abstract The role played by predation of birds in the mortality of British bats is assessed. A review of dietary studies and anecdotal accounts revealed eleven species of bird which occasionally feed on bats–Herring Gull Larus argentatus , Black‐headed Gull Larus ridibundus , Rook Corvus frugilegus , Carrion Crow Corvus corone , Little Owl Athene noctua , Short‐eared Owl Asio flammeus , Kestrel Falco tinnunculus , Hobby Falco subbuteo , Merlin Falco columbarius , Peregrine Falco peregrinus and Sparrowhawk Accipiter nisus. A further three speci
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13

Hawkins-Westergard, Diana, Anya Dimitrijevic, Clinton Yam, et al. "Abstract P4-08-22: Overcoming Olaparib Resistance in BRCA-Mutated Triple-Negative Breast Cancer: Synergistic Potential of DNA Repair Pathway Inhibitors." Clinical Cancer Research 31, no. 12_Supplement (2025): P4–08–22—P4–08–22. https://doi.org/10.1158/1557-3265.sabcs24-p4-08-22.

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Abstract Background: Triple-negative breast cancer (TNBC) requires new treatment options due to its aggressive nature, high recurrence rates with standard-of-care treatment, and heterogeneous therapeutic effectiveness of existing treatments for metastatic TNBC. Poly(ADP-ribose) polymerase (PARP) inhibitors are approved treatments for HER2-negative breast cancer with germline BRCA (gBRCA) mutation, and they are of particular interest for patients with gBRCA-mutated TNBC due to their role in exploiting DNA repair deficiencies. Two PARP inhibitors (olaparib and talazoparib) are FDA-approved for p
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14

Kertzer, Joshua D., Marcus Holmes, Brad L. LeVeck, and Carly Wayne. "Hawkish Biases and Group Decision Making." International Organization, March 11, 2022, 1–36. http://dx.doi.org/10.1017/s0020818322000017.

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Abstract How do cognitive biases relevant to foreign policy decision making aggregate in groups? Many tendencies identified in the behavioral decision-making literature—such as reactive devaluation, the intentionality bias, and risk seeking in the domain of losses—have been linked to hawkishness in foreign policy choices, potentially increasing the risk of conflict, but how these “hawkish biases” operate in the small-group contexts in which foreign policy decisions are often made is unknown. We field three large-scale group experiments to test how these biases aggregate in groups. We find that
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15

Tuathail, Gearóid Ó. "The territorial taboo: Explaining the public aversion to negotiations in the Ukraine war support coalition." Environment and Planning C: Politics and Space, August 30, 2024. http://dx.doi.org/10.1177/23996544241268335.

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Despite severe and mounting war costs, many in the international coalition supporting Ukraine have publicly expressed strong aversion to negotiations with Russia, and Ukrainian territorial concessions, to end the war. What explains this aversion to negotiations and seeming taboo on territorial concessions? This commentary, drawing particularly on US policy debate, suggests that proclaimed sacred values helps explain this disposition. Ukraine’s war support network is a discursive coalition bound together by three shared narratives about the war and universal values. Stories about international
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16

Shlomovich, Leigh, Edward A. K. Cohen, and Niall Adams. "A parameter estimation method for multivariate binned Hawkes processes." Statistics and Computing 32, no. 6 (2022). http://dx.doi.org/10.1007/s11222-022-10121-2.

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AbstractIt is often assumed that events cannot occur simultaneously when modelling data with point processes. This raises a problem as real-world data often contains synchronous observations due to aggregation or rounding, resulting from limitations on recording capabilities and the expense of storing high volumes of precise data. In order to gain a better understanding of the relationships between processes, we consider modelling the aggregated event data using multivariate Hawkes processes, which offer a description of mutually-exciting behaviour and have found wide applications in areas inc
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17

Lian, Lian. "A stochastic configuration networks based on Harris hawks optimizer." Journal of Intelligent & Fuzzy Systems, April 26, 2023, 1–17. http://dx.doi.org/10.3233/jifs-222395.

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Stochastic configuration networks (SCNs), as a novel incremental generation model with supervisory mechanism, has an excellent superiority in solving large-scale data regression and classification problems. However, the accuracy of the SCNs is affected by the assignation and selection of some network parameters significantly. Harris hawk optimizer (HHO) algorithm is a new meta-heuristic algorithm that simulates the foraging and anti-predation behavior of Harris hawk. In this paper, a SCNs based on HHO algorithm is first introduced, termed as HHO-SCNs. As the performance of SCNs is related to r
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18

Kumar, K. Sravan, and João Marto. "Towards a unitary formulation of quantum field theory in curved space-time: the case of Schwarzschild black hole." Progress of Theoretical and Experimental Physics, November 27, 2024. http://dx.doi.org/10.1093/ptep/ptae176.

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Abstract We argue that the origin of unitarity violation and information loss paradox in our understanding of black holes (BHs) lies in the standard way of doing quantum field theory in curved spacetime (QFTCS), which is heavily biased on intuition borrowed from classical General Relativity. In this paper, with the quantum first approach, we formulate a so-called direct-sum QFT (DQFT) in BH spacetime based on a novel formulation of discrete spacetime transformations in gravity that potentially restores unitarity. By invoking the quantum effects associated with the gravitational backreaction, w
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19

Al Bataineh, Ali, Seyed Mohammad Jafar Jalali, Seyed Jalaleddin Mousavirad, Amirmehdi Yazdani, Syed Mohammed Shamsul Islam, and Abbas Khosravi. "An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis." Expert Systems, January 22, 2024. http://dx.doi.org/10.1111/exsy.13532.

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AbstractIntegrating machine learning techniques into medical diagnostic systems holds great promise for enhancing disease identification and treatment. Among the various options for training such systems, the extreme learning machine (ELM) stands out due to its rapid learning capability and computational efficiency. However, the random selection of input weights and hidden neuron biases in the ELM can lead to suboptimal performance. To address this issue, our study introduces a novel approach called modified Harris hawks optimizer (MHHO) to optimize these parameters in ELM for medical classifi
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20

Jain, Payal, Yasmin Shaikh, and Sanjay Tanwani. "An Efficient Emotion Recognition Model Using Bald Hawk Optimization Based on Deep Learning." Web Intelligence, March 12, 2025. https://doi.org/10.1177/24056456251320118.

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Emotion recognition models are used to determine the thoughts, feelings, and emotions of humans from facial visuals. The enormity of facial expressions makes it challenging to extract emotions from face images. The main focus of this research is to extract emotions from facial images and emotional speech using deep learning models. In previous research, proposed methods suffer from issues like performance degradation caused by poor layer selection as well as poor accuracy. In the proposed model, data is gathered, and preprocessed to improve the image's quality for more accurate emotion recogni
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21

Al-safi, Haedar, Hadeel Alsalihi, and Jorge Munilla. "Use Harris Hawks Optimization (HHO) Algorithm based on Artificial Neural Network for liver disease diagnosis." Proceedings of International Conference on Intelligent Systems and New Applications, April 28, 2024. http://dx.doi.org/10.58190/icisna.2024.81.

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This research paper presents a new method for diagnosing liver disease using the Harris Hawks Optimization (HHO) algorithm in combination with an Artificial Neural Network (ANN). The HHO algorithm enhances the ANN's performance in liver disease classification by refining its parameters. Clinical, laboratory, and demographic data are collected from hepatitis patients and individuals without hepatic illness. The dataset is processed to handle missing values, outliers, and normalization. The HHO algorithm optimizes the weights and biases of the ANN, facilitating the identification of relevant fea
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22

Chaudhuri, Koushiki Dasgupta, and Bugra Alkan. "A hybrid extreme learning machine model with harris hawks optimisation algorithm: an optimised model for product demand forecasting applications." Applied Intelligence, January 26, 2022. http://dx.doi.org/10.1007/s10489-022-03251-7.

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AbstractAccurate and real-time product demand forecasting is the need of the hour in the world of supply chain management. Predicting future product demand from historical sales data is a highly non-linear problem, subject to various external and environmental factors. In this work, we propose an optimised forecasting model - an extreme learning machine (ELM) model coupled with the Harris Hawks optimisation (HHO) algorithm to forecast product demand in an e-commerce company. ELM is preferred over traditional neural networks mainly due to its fast computational speed, which allows efficient dem
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23

"Book reviews: Man of the world." Notes and Records of the Royal Society of London 49, no. 2 (1995): 336–37. http://dx.doi.org/10.1098/rsnr.1995.0034.

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Sir Joseph Banks: a global perspective . Edited by R.E.R. Banks, B. Elliott, J.G. Hawkes, D. King-Hele & G.Ll. Lucas (eds), Kew: Royal Botanic Gardens, 1994. Pp. ii+235. £12.00. ISBN 0-947643-61-3 Eight sponsoring bodies, 20 authors, 14 substantive contributions: the major conference held at the Royal Society in April 1993 in commemoration of the 250th anniversary of the birth of Sir Joseph Banks was on a scale surely befitting a man of such diverse activities and far reaching ambitions. In its turn it has now received its own commemoration in print - no less fittingly, with five editors.
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24

Strand, Gianna. "Contextual Vulnerability Should Guide Fair Subject Selection in Xenotransplantation Clinical Trials." Voices in Bioethics 9 (March 27, 2023). http://dx.doi.org/10.52214/vib.v9i.11031.

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Photo 190773207 / Transplant Medicine © Victor Moussa | Dreamstime.com ABSTRACT Xenotransplant research offers hope to individuals waiting for vital organ transplants. Nascent first-in-human xenotransplantation research trials present unique ethical challenges which may translate into obligations for researchers and special considerations for institutional review boards (IRBs). Contextual vulnerability is an important consideration in reviewing proposed subject selection methods. Some recipients are uniquely prone to receiving an unfair offer to enroll in an experimental clinical trial when ex
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25

Verma, Rabindra Kumar. "Book Review." East European Journal of Psycholinguistics 7, no. 1 (2020). http://dx.doi.org/10.29038/eejpl.2020.7.1.kum.

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Susheel Kumar Sharma’s Unwinding Self: A Collection of Poems. Cuttack: Vishvanatha Kaviraj Institute, 2020, ISBN: 978-81-943450-3-9, Paperback, pp. viii + 152.
 Like his earlier collection, The Door is Half Open, Susheel Kumar Sharma’s Unwinding Self: A Collection of Poems has three sections consisting of forty-two poems of varied length and style, a detailed Glossary mainly on the proper nouns from Indian culture and tradition and seven Afterwords from the pens of the trained readers from different countries of four continents. The structure of the book is circular. The first poem “Snaps
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