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Journal articles on the topic 'MODULARITY SCORE'

Author: Grafiati

Published: 11 September 2023

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1

Miyauchi, Atsushi, and Yasushi Kawase. "Z-Score-Based Modularity for Community Detection in Networks." PLOS ONE 11, no. 1 (2016): e0147805. http://dx.doi.org/10.1371/journal.pone.0147805.

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Sun, Huaqi, Hui Shu, Fei Kang, and Yan Guang. "ModDiff: Modularity Similarity-Based Malware Homologation Detection." Electronics 12, no. 10 (2023): 2258. http://dx.doi.org/10.3390/electronics12102258.

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In recent years, the number and scale of malicious codes have grown exponentially, posing an increasing threat to cybersecurity. Hence, it is of great research value to quickly identify variants of malware and master their family information. Binary code similarity detection, as a key technique in reverse analysis, plays an indispensable role in malware analysis. However, most existing methods focus on similarity at the function or basic block level, ignoring the modular composition of malware. Implementing similarity detection among malware modules would greatly improve the efficiency and acc

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Sachdeva, Shubhangini, Sridhar Mangalesh, and Sharmila Dudani. "Knowledge, Attitude and Practices of Breast Self-Examination Amongst Indian Women: A Pan-India Study." Asian Pacific Journal of Cancer Care 6, no. 2 (2021): 141–47. http://dx.doi.org/10.31557/apjcc.2021.6.2.141-147.

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Objective: Breast Cancer is the leading cause of mortality and morbidity amongst Indian females. Breast self-examination (BSE) as an early detection modularity can have a profound effect on lowering mortality, if it is practiced regularly. The aim of this study was to assess the knowledge, attitude, and practice of Breast Self-examination amongst Indian women, aged 30 years and above. Methods: A validated questionnaire, consisting 35 questions measuring ‘Knowledge, Attitudes and Practice of Breast Self-Examination’ was widely circulated amongst 1000 females throughout India and responses were

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De Meo, Federico, Giorgio Cacciola, Vittorio Bellotti, Antongiolio Bruschetta, and Pietro Cavaliere. "Trabecular Titanium acetabular cups in hip revision surgery: mid-term clinical and radiological outcomes." HIP International 28, no. 2_suppl (2018): 61–65. http://dx.doi.org/10.1177/1120700018812992.

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Introduction: Severe acetabular bone loss during revision hip arthroplasty can be restored with different surgical techniques. Best results have been observed using porous tantalum cementless cups. Trabecular Titanium (TT) cups were designed to reproduce the structure, mechanical and biological characteristics of trabecular bone. Few clinical studies have been published with these cups. The aim of this study is to evaluate the clinical and radiological outcome of patients with large acetabular defects (Paprosky IIb or higher) revised using TT cups. Materials and methods: 64 consecutive patient

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Wang, Guohai, Yang Huang, Wei Yao, et al. "Structure and characteristics of the plant-frugivore bird network from the Guilin Botanical Garden." PeerJ 11 (March 16, 2023): e15028. http://dx.doi.org/10.7717/peerj.15028.

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The interaction between plants and frugivores is crucial to ecosystem function and community diversity. However, little is known about the interaction between plants and frugivorous bird species in urban green spaces. We observed interactions between plants and frugivorous birds in the Guilin Botanical Garden for one year and determined the structure and characteristics of the interaction network. We also analyzed the impact of species traits on their network roles. Interactions between 14 frugivorous birds and 13 fruit plant species were recorded in the study area. Autumn interactions compris

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Feklicheva, Inna, Ilya Zakharov, Nadezda Chipeeva, et al. "Assessing the Relationship between Verbal and Nonverbal Cognitive Abilities Using Resting-State EEG Functional Connectivity." Brain Sciences 11, no. 1 (2021): 94. http://dx.doi.org/10.3390/brainsci11010094.

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The present study investigates the relationship between individual differences in verbal and non-verbal cognitive abilities and resting-state EEG network characteristics. We used a network neuroscience approach to analyze both large-scale topological characteristics of the whole brain as well as local brain network characteristics. The characteristic path length, modularity, and cluster coefficient for different EEG frequency bands (alpha, high and low; beta1 and beta2, and theta) were calculated to estimate large-scale topological integration and segregation properties of the brain networks.

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Liu, Zhihua, Hongmei Wang, Guishen Wang, and Yu Zhou. "Link community detection based on ensemble learning." Modern Physics Letters B 34, no. 27 (2020): 2050293. http://dx.doi.org/10.1142/s0217984920502930.

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Overlapping community detection is a hot topic in the research of data mining and graph theory. In this paper, we propose a link community detection method based on ensemble learning (LCDEL). First, we transform graph into line graph and construct node adjacency matrix of line graph. Second, we calculate node distance of line graph through a new distance metric and get node distance matrix of line graph. Third, we use PCA method to reduce dimensions of node distance matrix of line graph. Then, we cluster on the reduced node distance matrix by k-means clustering algorithm. Finally, we convert l

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LU, ZAIXIN, WEILI WU, WEIDONG CHEN, JIAOFEI ZHONG, YUANJUN BI, and ZHENG GAO. "THE MAXIMUM COMMUNITY PARTITION PROBLEM IN NETWORKS." Discrete Mathematics, Algorithms and Applications 05, no. 04 (2013): 1350031. http://dx.doi.org/10.1142/s1793830913500316.

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The community structure detection is an important problem in many areas such as biology network, computer network and social network. The objective of this problem is to analyze the relationships among data via the network topology. In the literature, many works have been done for partitioning a network into communities or clustering data into groups. In this paper, we define a series of conditions for communities and formulate the community detection problem into a combinatorial optimization problem which aims at partitioning a given network into disjoint communities such that all the communi

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Wang, Lu, Yong Quan Liang, Qi Jia Tian, Jie Yang, Chao Song, and Zhuang Wu. "A Community Detection Method Based on Multi-Objective Optimization Method." Applied Mechanics and Materials 571-572 (June 2014): 177–82. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.177.

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Community detection in complex network has been an active research area in data mining and machine learning. This paper proposed a community detection method based on multi-objective evolutionary algorithm, named CDMOEA, which tries to find the Pareto front by maximize two objectives, community score and community fitness. Fast and Elitist Multi-objective Genetic Algorithm is used to attained a set of optimal solutions, and then use Modularity function to choose the best one from them. The locus based adjacency representation is used to realize genetic representation, which ensures the effecti

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Zheng, Gang, Liping Zhang, Long Jiang Zhang, et al. "Altered Modular Organization of Functional Connectivity Networks in Cirrhotic Patients without Overt Hepatic Encephalopathy." BioMed Research International 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/727452.

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Minimal hepatic encephalopathy (MHE) is associated with changes in functional connectivity. To investigate the patterns of modular changes of the functional connectivity in the progression of MHE, resting-state functional magnetic resonance imaging was acquired in 24 MHE patients, 31 cirrhotic patients without minimal hepatic encephalopathy (non-HE), and 38 healthy controls. Newman’s metric, the modularityQvalue, was maximized and compared in three groups. Topological roles with the progression of MHE were illustrated by intra- and intermodular connectivity changes. Results showed that theQval

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Lertampaiporn, Supatcha, Chinae Thammarongtham, Chakarida Nukoolkit, Boonserm Kaewkamnerdpong, and Marasri Ruengjitchatchawalya. "Identification of non-coding RNAs with a new composite feature in the Hybrid Random Forest Ensemble algorithm." Nucleic Acids Research 42, no. 11 (2014): e93-e93. http://dx.doi.org/10.1093/nar/gku325.

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Abstract To identify non-coding RNA (ncRNA) signals within genomic regions, a classification tool was developed based on a hybrid random forest (RF) with a logistic regression model to efficiently discriminate short ncRNA sequences as well as long complex ncRNA sequences. This RF-based classifier was trained on a well-balanced dataset with a discriminative set of features and achieved an accuracy, sensitivity and specificity of 92.11%, 90.7% and 93.5%, respectively. The selected feature set includes a new proposed feature, SCORE. This feature is generated based on a logistic regression functio

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Naik, Anil S. "Text and Voice Based Emotion Monitoring System." Oriental journal of computer science and technology 12, no. 4 (2020): 194–200. http://dx.doi.org/10.13005/ojcst12.04.05.

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An Emotion monitoring system for a call-center is proposed. It aims to simplify the tracking and management of emotions extracted from call center Employee-Customer conversations. The system is composed of four modules: Emotion Detection, Emotion Analysis and Report Generation, Database Manager, and User Interface. The Emotion Detection module uses Tone Analyzer to extract them for reliable emotion; it also performs the Utterance Analysis for detecting emotion. The 14 emotions detected by the tone analyzer are happy, joy, anger, sad and neutral, etc. The Emotion Analysis module performs classi

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Wang, Yishu, Dejie Yang, and Minghua Deng. "Low-Rank and Sparse Matrix Decomposition for Genetic Interaction Data." BioMed Research International 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/573956.

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Background. Epistatic miniarray profile (EMAP) studies have enabled the mapping of large-scale genetic interaction networks and generated large amounts of data in model organisms. One approach to analyze EMAP data is to identify gene modules with densely interacting genes. In addition, genetic interaction score (Sscore) reflects the degree of synergizing or mitigating effect of two mutants, which is also informative. Statistical approaches that exploit both modularity and the pairwise interactions may provide more insight into the underlying biology. However, the high missing rate in EMAP data

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Rachwał, Alicja, Emilia Popławska, Izolda Gorgol, et al. "Determining the Quality of a Dataset in Clustering Terms." Applied Sciences 13, no. 5 (2023): 2942. http://dx.doi.org/10.3390/app13052942.

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The purpose of the theoretical considerations and research conducted was to indicate the instruments with which the quality of a dataset can be verified for the segmentation of observations occurring in the dataset. The paper proposes a novel way to deal with mixed datasets containing categorical and continuous attributes in a customer segmentation task. The categorical variables were embedded using an innovative unsupervised model based on an autoencoder. The customers were then divided into groups using different clustering algorithms, based on similarity matrices. In addition to the classic

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Vanbiervliet, Jens, and Jan F. A. Somers. "Excellent Mid-Term Results of a New Polished Tapered Modular Cemented Stem: A Study of 113 Hip Replacements with Minimum 5-Year Follow-Up." HIP International 27, no. 5 (2017): 455–59. http://dx.doi.org/10.5301/hipint.5000486.

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Background This prospective cohort study reports the medium-term clinical and radiographic results of 113 hips treated with a hybrid total hip replacement (THR) with a new cemented tapered cobalt-chrome (Co-Cr) stem with a titanium (Ti) modular neck (ProfemurXm®). Method Between October 2008 and December 2010 we performed 115 consecutive hybrid THR with the ProfemurXm® in 105 patients. Results Survivorship of the implant (stem and modular neck) at a mean of 6.5 years (min 5-max 8) was 100% with the endpoint revision for any reason. No implant was at risk for revision or showed signs of looseni

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Munegato, Daniele, Agostino Dario Caminita, Romeo Sotiri, Andrea Rossi, Marco Bigoni, and Giovanni Zatti. "Femoral revision in periprosthetic fractures using a titanium modular fluted tapered stem: mortality and clinical and radiological outcomes." HIP International 30, no. 2_suppl (2020): 101–7. http://dx.doi.org/10.1177/1120700020971313.

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Introduction: The aim of the study was to evaluate the mortality and the outcomes of femoral revision in periprosthetic femoral fractures (PFF) using a titanium modular fluted tapered stem. Methods: We retrospectively reviewed femoral revisions performed for PFF with a titanium modular fluted tapered stem in 25 patients. The average age was 74.32 years. In 21 patients the type of fracture was Vancouver B2 and type B3 in 4 cases. The mean follow-up was 29.16 (0.83–104.1) months SD ± 29.49. Results: The 30-day and 1-year mortality were 8% and 12% respectively. The mean value of the Charlson Como

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Wang, Tiantian, Djoko Budi Santoso, Kechao Wang, and Xiaohong Su. "Automatic Grading for Complex Multifile Programs." Complexity 2020 (June 13, 2020): 1–15. http://dx.doi.org/10.1155/2020/3279053.

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This paper presents an automatic grading method DGRADER, which handles complex multifile programs. Both the dynamic and the static grading support multifile program analysis. So, it can be an advantage to handle complex programming problem which requires more than one program file. Dynamic analysis takes advantage of object file linker in compilation to link complex multifile program. The static grading module consists of the following steps. Firstly, the program is parsed into abstract syntax tree, which is mapped into abstract syntax tree data map. Then, the information of preprocessor is us

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Eddahmani, Ikram, Chi-Hieu Pham, Thibault Napoléon, Isabelle Badoc, Jean-Rassaire Fouefack, and Marwa El-Bouz. "Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey." Sensors 23, no. 4 (2023): 2362. http://dx.doi.org/10.3390/s23042362.

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In recent years, the rapid development of deep learning approaches has paved the way to explore the underlying factors that explain the data. In particular, several methods have been proposed to learn to identify and disentangle these underlying explanatory factors in order to improve the learning process and model generalization. However, extracting this representation with little or no supervision remains a key challenge in machine learning. In this paper, we provide a theoretical outlook on recent advances in the field of unsupervised representation learning with a focus on auto-encoding-ba

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Mall, Raghvendra, Ehsan Ullah, Khalid Kunji, Michele Ceccarelli, and Halima Bensmail. "An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity." F1000Research 7 (March 26, 2018): 378. http://dx.doi.org/10.12688/f1000research.14258.1.

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Disease processes are usually driven by several genes interacting in molecular modules or pathways leading to the disease. The identification of such modules in gene or protein networks is the core of computational methods in biomedical research. With this pretext, the Disease Module Identification (DMI) DREAM Challenge was initiated as an effort to systematically assess module identification methods on a panel of 6 diverse genomic networks. In this paper, we propose a generic refinement method based on ideas of merging and splitting the hierarchical tree obtained from any community detection

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Komarova, A., A. Kiselnikov, M. Yurlova, et al. "Resting-state EEG networks characterized by intramodular and global hyperconnectivity in depressive sample." European Psychiatry 65, S1 (2022): S213—S214. http://dx.doi.org/10.1192/j.eurpsy.2022.557.

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Introduction Depression is characterized by a pattern of specific changes in the network organization of brain functioning. Objectives We researched a graph structure specificity in a depressive student sample by analyzing resting-state EEG. All possible combinations of graph metrics, frequency bands, and sensors/sources levels of networks were examined. Methods We recorded resting-state EEG in fourteen participants with high Beck Depression Inventory score (24.4 ± 9.7; 20.4 ± 1.5 y.o.; 14 females; 1 left-handed) and fourteen participants with a low score (6.8 ± 3.7; 21.3 ± 2.0 y.o.; 8 females

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Alami Machichi, Mouad, Loubna El Mansouri, Yasmina Imani, et al. "CerealNet: A Hybrid Deep Learning Architecture for Cereal Crop Mapping Using Sentinel-2 Time-Series." Informatics 9, no. 4 (2022): 96. http://dx.doi.org/10.3390/informatics9040096.

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Remote sensing-based crop mapping has continued to grow in economic importance over the last two decades. Given the ever-increasing rate of population growth and the implications of multiplying global food production, the necessity for timely, accurate, and reliable agricultural data is of the utmost importance. When it comes to ensuring high accuracy in crop maps, spectral similarities between crops represent serious limiting factors. Crops that display similar spectral responses are notorious for being nearly impossible to discriminate using classical multi-spectral imagery analysis. Chief a

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Lieberman, J. R. "METAL ARTIFACT REDUCTION SEQUENCE MRI ABNORMALITIES IN ASYMPTOMATIC PATIENTS WITH DUAL MOBILITY HIP PROSTHESES." Orthopaedic Proceedings 105-B, SUPP_12 (2023): 45. http://dx.doi.org/10.1302/1358-992x.2023.12.045.

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Modular dual mobility (DM) articulations are increasingly utilized during total hip arthroplasty (THA). However, concerns remain regarding the metal liner modularity. This study aims to correlate metal artifact reduction sequence (MARS) magnetic resonance imaging (MRI) abnormalities with serum metal ion levels in patients with DM articulations.All patients with an asymptomatic, primary THA and DM articulation with >2-year follow-up underwent MARS-MRI of the operative hip. Each patient had serum cobalt, chromium, and titanium levels drawn. Patient satisfaction, Oxford Hip Score, and Forgotte

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Iacobescu, G., R. Ene, A. Cursaru, D. Anghelescu, and C. Cîrstoiu. "Long-Term Follow-Up in Tumoral Arthroplasty." Romanian Journal of Orthopaedic Surgery and Traumatology 1, Supplement (2018): 54. http://dx.doi.org/10.2478/rojost-2018-0065.

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Abstract Introduction. Efficient management of a segmental resection or major osteolysis in the distal femur secondary to a tumor formation remains a controversial problem. Available options include the use of a modular or customized megaprosthetic implant. Modularity allows versatility for reconstruction and avoids the delay required to make a customized implant. Hypothesis and type of study. Performing a clinical and radiological retrospective study that aims to evaluate long-term efficiency in the use of megaprostheses in segmental distal femur resections. Elaboration of patient selection c

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Tamagusko, Tiago, Matheus Gomes Correia, Luís Rita, et al. "Data-Driven Approach for Urban Micromobility Enhancement through Safety Mapping and Intelligent Route Planning." Smart Cities 6, no. 4 (2023): 2035–56. http://dx.doi.org/10.3390/smartcities6040094.

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Micromobility responds to urban transport challenges by reducing emissions, mitigating traffic, and improving accessibility. Nevertheless, the safety of micromobility users, particularly cyclists, remains a concern in urban environments. This study aims to construct a safety map and a risk-averse routing system for micromobility users in diverse urban environments, as exemplified by a case study in Lisbon. A data-driven methodology uses object detection algorithms and image segmentation techniques to identify potential risk factors on cycling routes from Google Street View images. The ‘Bikeabl

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Asmi, Khawla, Dounia Lotfi, and Mohamed El Marraki. "Overlapping community detection based on the union of all maximum spanning trees." Library Hi Tech 38, no. 2 (2020): 276–92. http://dx.doi.org/10.1108/lht-01-2019-0003.

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Purpose The state-of-the-art methods designed for overlapping community detection are limited by their high execution time as in CPM or the need to provide some parameters like the number of communities in Bigclam and Nise_sph, which is a nontrivial information. Hence, there is a need to develop the accuracy that represents the primordial goal, where the actual state-of-the-art methods do not succeed to achieve high correspondence with the ground truth for many instances of networks. The paper aims to discuss this issue. Design/methodology/approach The authors offer a new method that explore t

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Meghanathan, Natarajan. "Complex Network Analysis of the Contiguous United States Graph." Computer and Information Science 10, no. 1 (2017): 54. http://dx.doi.org/10.5539/cis.v10n1p54.

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We model the contiguous states (48 states and the District of Columbia) of the United States (US) as an undirected network graph with each state represented as a node and there is an edge between two nodes if the corresponding two states share a common border. We determine a ranking of the states in the US with respect to a suite of node-level metrics: the centrality metrics (degree, eigenvector, betweenness and closeness), eccentricity, maximal clique size, and local clustering coefficient. We propose a normalization-based approach to obtain a comprehensive centrality ranking of the vertices

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El Ghazawy, Ahmed K., Ayman Abdelaziz Bassiony, Haytham Abdelazim, and Saleh Gameel. "Acetabular revision using trabecular titanium (Delta TT) revision cups: A retrospective case series." SICOT-J 8 (2022): 49. http://dx.doi.org/10.1051/sicotj/2022049.

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Background: The annual rate of primary THA has been increasing with new designs promoting THA in the younger population, therefore increasing rates and complexity of hip revision surgeries. Different types of acetabular defects in hip revisions, usually make the use of primary cementless cups quite difficult. In complex defects, using cages with cemented cups or combining cementless cups with metal augments, are possible reconstruction solutions. The Delta TT acetabular revision system provides a solution to complex defects combining the advantages of both cage construct and primary implants,

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Arun, C. P. "Brain modeling - from electrical and electronic circuits and modules to objects and threads: Application to Tourette’s Syndrome." European Psychiatry 26, S2 (2011): 1191. http://dx.doi.org/10.1016/s0924-9338(11)72896-6.

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From the time of the discovery of electricity, scientists have actively borrowed ideas from technology to help understand brain function. The earliest ‘models’ depicted connexions between various parts of the nervous system as if they were electrical circuits. With the development of valve and transistor technology, excitatory, inhibitory circuits (and the actions of receptors and ligands) and neural loops came into fashion. Integrated Circuit (IC) hardware technology and modular software design (e.g. in languages such as C and FORTRAN) no doubt ushered in the move towards ‘modularity’. A revi

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Fadhliani, Zed Zulkafli, Badronnisa Yusuf, and Siti Nurhidayu. "Assessment of Streamflow Simulation for a Tropical Forested Catchment Using Dynamic TOPMODEL—Dynamic fluxEs and ConnectIvity for Predictions of HydRology (DECIPHeR) Framework and Generalized Likelihood Uncertainty Estimation (GLUE)." Water 13, no. 3 (2021): 317. http://dx.doi.org/10.3390/w13030317.

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Rainfall runoff modeling has been a subject of interest for decades due to a need to understand a catchment system for management, for example regarding extreme event occurrences such as flooding. Tropical catchments are particularly prone to the hazards of extreme precipitation and the internal drivers of change in the system, such as deforestation and land use change. A model framework of dynamic TOPMODEL, DECIPHeR v1—considering the flexibility, modularity, and portability—and Generalized Likelihood Uncertainty Estimation (GLUE) method are both used in this study. They reveal model performa

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Madden, Gregory, Matthew Bielskas, Methun Kamruzzaman, et al. "173. Deciphering COVID-19-Associated Effects on Hospital MRSA Transmission and Social Networks." Open Forum Infectious Diseases 8, Supplement_1 (2021): S104—S106. http://dx.doi.org/10.1093/ofid/ofab466.173.

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Abstract Background The COVID-19 pandemic was associated with a significant (28%) reduction of methicillin-resistant Staphylococcus aureus (MRSA) acquisition at UVA Hospital (P=0.016). This “natural experiment” allowed us to analyze 3 key mechanisms by which the pandemic may have influenced nosocomial transmission: 1) enhanced infection control measures (i.e., barrier precautions and hand hygiene), 2) patient-level risk factors, and 3) networks of healthcare personnel (HCP)-mediated contacts. Figure 1. Monthly MRSA Acquisition Rates Pre- and Post-COVD-19 Hospital MRSA acquisition was defined a

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Yue, Qiuhai, Randi C. Martin, Simon Fischer-Baum, Aurora I. Ramos-Nuñez, Fengdan Ye, and Michael W. Deem. "Brain Modularity Mediates the Relation between Task Complexity and Performance." Journal of Cognitive Neuroscience 29, no. 9 (2017): 1532–46. http://dx.doi.org/10.1162/jocn_a_01142.

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Recent work in cognitive neuroscience has focused on analyzing the brain as a network, rather than as a collection of independent regions. Prior studies taking this approach have found that individual differences in the degree of modularity of the brain network relate to performance on cognitive tasks. However, inconsistent results concerning the direction of this relationship have been obtained, with some tasks showing better performance as modularity increases and other tasks showing worse performance. A recent theoretical model [Chen, M., & Deem, M. W. 2015. Development of modularity in

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Graceffa, Angelo, Pier Indelli, Leonardo Latella, Paolo Poli, Alexander Fulco, and Massimiliano Marcucci. "Clinical outcome of design modifications to the CLS Spotorno Stem in total hip replacement." Joints 04, no. 03 (2016): 134–41. http://dx.doi.org/10.11138/jts/2016.4.3.134.

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Purpose: historically, the original CLS Spotorno Stem has demonstrated excellent survival. The design of this stem was recently modified, resulting in the introduction of a shorter, modular version (CLS Brevius). The purpose of the current study was to evaluate the functional, radiological and survivorship outcomes of the cementless CLS Brevius Stem in a multi-surgeon, single center, consecutive series study at two years post-surgery. Methods: the Authors performed 170 total hip arthroplasties in 155 patients using the shorter, tripletaper stem design (CLS Brevius). The patients’ diagnoses wer

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Beckett, Stephen J. "Improved community detection in weighted bipartite networks." Royal Society Open Science 3, no. 1 (2016): 140536. http://dx.doi.org/10.1098/rsos.140536.

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Real-world complex networks are composed of non-random quantitative interactions. Identifying communities of nodes that tend to interact more with each other than the network as a whole is a key research focus across multiple disciplines, yet many community detection algorithms only use information about the presence or absence of interactions between nodes. Weighted modularity is a potential method for evaluating the quality of community partitions in quantitative networks. In this framework, the optimal community partition of a network can be found by searching for the partition that maximiz

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Serban, Maria. "Exploring modularity in biological networks." Philosophical Transactions of the Royal Society B: Biological Sciences 375, no. 1796 (2020): 20190316. http://dx.doi.org/10.1098/rstb.2019.0316.

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Network theoretical approaches have shaped our understanding of many different kinds of biological modularity. This essay makes the case that to capture these contributions, it is useful to think about the role of network models in exploratory research. The overall point is that it is possible to provide a systematic analysis of the exploratory functions of network models in bioscientific research. Using two examples from molecular and developmental biology, I argue that often the same modelling approach can perform one or more exploratory functions, such as introducing new directions of resea

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ALBajjari, Ismael F. Hussain. "A Cognitive-Functionalist Interpretation of Modularity." Journal of Tikrit University for Humanities 27, no. 2 (2020): 1–23. http://dx.doi.org/10.25130/jtuh.27.2.2020.23.

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Modularity has been the subject of intense debate in philosophy, psychology, and especially, in the cognitive sciences since the early 1980s, due to the publication of Fodor's ground-breaking book The Modularity of Mind (1983). However, in most cases of such modular views of the mind, misunderstandings have impeded an access to a more conceptually plausible account of modularity; a case that concerns us most here. This paper identifies the most striking arguments in the relevant literature, with special attention on the modularity argument proclaimed by J. Fodor (1983) that has been either lim

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Helfat, Constance E., and Kathleen M. Eisenhardt. "Inter-temporal economies of scope, organizational modularity, and the dynamics of diversification." Strategic Management Journal 25, no. 13 (2004): 1217–32. http://dx.doi.org/10.1002/smj.427.

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Fazelabdolabadi, Babak, and Mohammad Hossein Golestan. "Towards Bayesian Quantification of Permeability in Micro-scale Porous Structures – The Database of Micro Networks." HighTech and Innovation Journal 1, no. 4 (2020): 148–60. http://dx.doi.org/10.28991/hij-2020-01-04-02.

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This article develops a Bayesian framework to quantify the absolute permeability of water in a porous structure from the geometry and clustering parameters of its underlying pore-throat network. These parameters include the network`s diameter, transivity, degree, centrality, assortativity, edge density, K-core decomposition, Kleinberg’s hub centrality scores, Kleinberg's authority centrality scores, length, and porosity. In addition, the incorporated clustering aspects of the networks have been determined with respect to several clustering criteria – edge betweenness, greedy optimization of mo

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Janhunen, T., E. Oikarinen, H. Tompits, and S. Woltran. "Modularity Aspects of Disjunctive Stable Models." Journal of Artificial Intelligence Research 35 (August 28, 2009): 813–57. http://dx.doi.org/10.1613/jair.2810.

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Practically all programming languages allow the programmer to split a program into several modules which brings along several advantages in software development. In this paper, we are interested in the area of answer-set programming where fully declarative and nonmonotonic languages are applied. In this context, obtaining a modular structure for programs is by no means straightforward since the output of an entire program cannot in general be composed from the output of its components. To better understand the effects of disjunctive information on modularity we restrict the scope of analysis t

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Komarova, A., E. Shcherbakova, A. Kiselnikov, et al. "Beta-band network modularity in resting-state EEG negatively correlates with level of intelligence." European Psychiatry 65, S1 (2022): S639. http://dx.doi.org/10.1192/j.eurpsy.2022.1639.

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Introduction Recent studies mostly focus on the links between measures of alpha-band EEG networks and intelligence. However, associations between wide frequency range EEG networks and general intelligence level remain underresearched. Objectives In this study in a student sample we aimed to correlate the intelligence level and graph metrics of the sensors/sources-level networks constructed in different frequency EEG bands. Methods We recorded eyes-closed resting-state EEG in 28 healthy participants (21.4±2.1 y.o., 18 females, 1 left-handed). The Raven’s Standard Progressive Matrices Plus (‘SPM

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Nacher, Jose C. "Community structure of non-coding RNA interaction network." Journal of Integrative Bioinformatics 10, no. 2 (2013): 24–34. http://dx.doi.org/10.1515/jib-2013-217.

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Summary Rapid technological advances have shown that the ratio of non-protein coding genes rises to 98.5% in humans, suggesting that current knowledge on genetic information processing might be largely incomplete. It implies that protein-coding sequences only represent a small fraction of cellular transcriptional information. Here, we examine the community structure of the network defined by functional interactions between noncoding RNAs (ncRNAs) and proteins related bio-macrolecules (PRMs) using a two-fold approach: modularity in bipartite network and k-clique community detection. First, the

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Singavi, Arun, Guangyu Chen, Nancy Wandersee, et al. "Daily Pain Is Associated with Alterations in Functional Connectivity of the Brain on fMRI in Adults with Sickle Cell Disease." Blood 128, no. 22 (2016): 3656. http://dx.doi.org/10.1182/blood.v128.22.3656.3656.

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Abstract Background:One-third of adults with sickle cell disease (SCD) have daily, chronic pain. Despite the high prevalence of chronic pain in adults with SCD, the mechanism of is not well defined. In other chronic pain disorders, functional MRI (fMRI) demonstrates a re-organization of the brain's connectivity, which may be maladaptive and contribute to the development of a chronic pain syndrome. We performed fMRI in adults with SCD as well as age-matched controls in order to test two hypotheses: 1) functional connectivity is different between adults with SCD and controls, and 2) differences

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Han, Kihwan, Sandra B. Chapman, and Daniel C. Krawczyk. "Cognitive Training Reorganizes Network Modularity in Traumatic Brain Injury." Neurorehabilitation and Neural Repair 34, no. 1 (2019): 26–38. http://dx.doi.org/10.1177/1545968319868710.

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Background. Graph-theoretic approaches are increasingly popular for identifying the patterns of disrupted neural systems after traumatic brain injury (TBI). However, the patterns of neuroplasticity in brain organization after cognitive training in TBI are less well understood. Objective. We identified the patterns of training-induced neuroplasticity of the whole-brain network in TBI, using resting-state functional connectivity and graph theory. Methods. A total of 64 civilians and veterans with TBI were randomized into either a strategy-based cognitive training group (n = 33) or a knowledge-ba

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Hellström, Magnus. "Solution business models based on functional modularity – the case of complex capital goods." Journal of Service Management 25, no. 5 (2014): 654–76. http://dx.doi.org/10.1108/josm-07-2013-0198.

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Purpose – The purpose of the paper is to outline a business model for product system solutions that is based on functional modularity. Design/methodology/approach – The paper employs an illustrative case study design. The cases constitute two action research projects in two organisations delivering complex product systems. Findings – The paper illustrates the viability of a movement towards a solution business model based on the use of modular networks and integrated sub-supplies for complex product systems. It develops the idea of suppliers assuming responsibility for larger functional wholes

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Harnos, Andrea, Péter Fehérvári, Imre Sándor Piross, et al. "Exploratory analyses of migration timing and morphometrics of the Dunnock (Prunella modularis)." Ornis Hungarica 24, no. 2 (2016): 127–44. http://dx.doi.org/10.1515/orhu-2016-0020.

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Abstract Ornithological studies often rely on large temporal scale ringing datasets as source of information. However, basic descriptive statistics of collected data are rarely provided. In order to fill this gap, here we present the second item of a series of exploratory analyses of migration timing and body size measurements of the most frequent Passerine species at a ringing station located in Central Hungary (1984–2015). First, we give a concise description of foreign ring recoveries of the Dunnock in relation to Hungary. We then shift focus to data of 11,617 individuals deriving from the

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Jeon, Gyuhyeon, and Juyong Park. "Impact of biased scores on ranking in bipartite competition networks and inference of modular structure via generalized modularity." EPL (Europhysics Letters) 117, no. 4 (2017): 48005. http://dx.doi.org/10.1209/0295-5075/117/48005.

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Ma, Qing, Yanqing Tang, Fei Wang, et al. "Transdiagnostic Dysfunctions in Brain Modules Across Patients with Schizophrenia, Bipolar Disorder, and Major Depressive Disorder: A Connectome-Based Study." Schizophrenia Bulletin 46, no. 3 (2019): 699–712. http://dx.doi.org/10.1093/schbul/sbz111.

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Abstract Psychiatric disorders, including schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD), share clinical and neurobiological features. Because previous investigations of functional dysconnectivity have mainly focused on single disorders, the transdiagnostic alterations in the functional connectome architecture of the brain remain poorly understood. We collected resting-state functional magnetic resonance imaging data from 512 participants, including 121 with SCZ, 100 with BD, 108 with MDD, and 183 healthy controls. Individual functional brain connectomes were c

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Shen, Yao, and Michael Batty. "Delineating the perceived functional regions of London from commuting flows." Environment and Planning A: Economy and Space 51, no. 3 (2018): 547–50. http://dx.doi.org/10.1177/0308518x18786253.

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Well-connected urban areas defined by different types of urban flow define the boundaries reflecting the relatedness of places in terms of their functionality. Yet, attempts to define cities and their communities based on aggregated data normally neglect the inherent differences between different groups of people. Based on the disaggregated flow data, this study detects community structures in the London Metropolitan Area perceived by different occupations by using the multi-level modularity optimisation algorithm. The results show the difference between our perceptions of different functional

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Kozulin, Alex, and Tziona Levi. "EFL Learning Potential: General or Modular?" Journal of Cognitive Education and Psychology 17, no. 1 (2018): 16–27. http://dx.doi.org/10.1891/1945-8959.17.1.16.

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Little attention has been paid to the question about generality versus modularity of the learning potential (LP). The main research question of our study was: Is the students’ LP established with the help of a dynamic assessment of their English as a foreign language (EFL) oral proficiency general enough to predict their subsequent EFL reading and writing scores? Eighty students (38 boys, 42 girls) received a dynamic assessment of their EFL oral proficiency in a pretest – mediation – posttest format. Six months later they took a standard EFL reading comprehension and writing exam. The results

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Łazarz, Marcin. "An extension of F. Šik’s theorem on modular lattices." Mathematica Slovaca 68, no. 6 (2018): 1321–26. http://dx.doi.org/10.1515/ms-2017-0182.

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AbstractJ. Jakubík noted in [JAKUBÍK, J.:Modular Lattice of Locally Finite Length, Acta Sci. Math.37(1975), 79–82] that F. Šik in the unpublished manuscript proved that in the class of upper semimodular lattices of locally finite length, modularity is equivalent to the lack of cover-preserving sublattices isomorphic toS7. In the present paper we extend the scope of Šik’s theorem to the class of upper semimodular, upper continuous and strongly atomic lattices. Moreover, we show that corresponding result of Jakubík from [JAKUBÍK, J.:Modular Lattice of Locally Finite Length, Acta Sci. Math.37(197

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Wilsterman, Kathryn, Mattina M. Alonge, Darcy K. Ernst, Cody Limber, Lisa A. Treidel, and George E. Bentley. "Flexibility in an emergency life-history stage: acute food deprivation prevents sickness behaviour but not the immune response." Proceedings of the Royal Society B: Biological Sciences 287, no. 1929 (2020): 20200842. http://dx.doi.org/10.1098/rspb.2020.0842.

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The emergency life-history stage (ELHS) can be divided into two subcategories that describe distinct, coordinated responses to disease- or non-disease-related physiological challenges. Whether an individual can simultaneously express aspects of both subcategories when faced with multiple challenges is poorly understood. Emergency life-history theory suggests that disease- and non-disease-related responses are coordinated at the level of the whole organism and therefore cannot be expressed simultaneously. However, the reactive scope and physiological regulatory network models suggest that trait

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