Mobile Phone Data in Urban Commuting: A Network Community Detection-Based Framework to Unveil the Spatial Structure of Commuting Demand by Qing Yu, Weifeng Li, Dongyuan Yang, Haoran Zhang

“…In this paper, a methodology framework is proposed to describe the spatial structure of commuting demand in a city using mobile phone data. …”
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Family structure factors influencing modern contraceptive use in Cameroon based on analysis of 2018–2019 demographic and health survey data by Samira Amadou, Myungken Lee, Jakyoung Lee, Sangyune Kim, Sunjoo Kang

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Remotely Sensing Phytoplankton Size Structure in the Mediterranean Sea: Insights from In Situ Data and Temperature-Corrected Abundance-Based Models by John A. Gittings, Eleni Livanou, Xuerong Sun, Robert J. W. Brewin, Stella Psarra, Manolis Mandalakis, Alexandra Peltekis, Annalisa Di Cicco, Vittorio E. Brando, Dionysios E. Raitsos

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Exploring the influence of circular economy on big data analytics and supply chain resilience nexus: A structural equation modeling approach by Samia Islam, Sanjida Hassan, Sourav Hossain, Tazim Ahmed, Chitra Lekha Karmaker, A.B.M. Mainul Bari

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Individual, household structure, and socioeconomic predictors of COVID-19 testing and vaccination outcomes: a whole population linked data analysis by Nicole Satherley, Andrew Sporle

“…We aimed to identify policy amenable socioeconomic factors associated with COVID-19 outcomes while adjusting for relevant individual factors and household structure. We also aimed to examine whether ethnic group differences are smaller when accounting for these socioeconomic factors and household structure. …”
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Observations of a middle atmosphere thermal structure over Durban using a ground-based Rayleigh LIDAR and satellite data by Nkanyiso Mbatha, Venkataraman Sivakumar, Hassan Bencherif, Sandile Malinga, Sadhasivan Pillay, Ashokabose Moorgawa, Max Michaelis

“…Observations of a middle atmosphere thermal structure over Durban, South Africa (29.9°S, 31.0°E) using the Durban Rayleigh Light Detection and Ranging (LIDAR) data collected over 277 nights from April 1999 to July 2004, including closest overpasses of the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) and Halogen Occultation Experiments (HALOE) satellites, are presented in this paper. …”
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Structure and growth of a Danish research infrastructure and support unit for health research – OPEN (Open Patient data Explorative Network) by Katrine Hass Rubin, Emilie Rosenfeldt Christensen, Janni Brødbaek, Tanja Gram Petersen, Anna Skat Nielsen

“…Methods This paper presents a descriptive case on the structure of the research support unit OPEN (Open Patient data Explorative Network). …”
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Using genome-wide data to ascertain taxonomic status and assess population genetic structure for Houston toads (Bufo [= Anaxyrus] houstonensis) by Shashwat Sirsi, David Rodriguez, Michael R. J. Forstner

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Protein secondary structure determined from independent and integrated infra-red absorbance and circular dichroism data using the algorithm SELCON by Søren Vrønning Hoffmann, Nykola C. Jones, Alison Rodger

“…Protein circular dichroism (CD) and infrared absorbance (IR) spectra are widely used to estimate the secondary structure content of proteins in solution. A range of algorithms have been used for CD analysis (SELCON, CONTIN, CDsstr, SOMSpec) and some of these have been applied to IR data, though IR is more commonly analysed by bandfitting or statistical approaches. …”
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Global residual stress field inference method for die-forging structural parts based on fusion of monitoring data and distribution prior by Shuyuan Chen, Yingguang Li, Changqing Liu, Zhiwei Zhao, Zhibin Chen, Xiao Liu

“…This paper presents a global RSF inference method for the die-forging structural parts based on the fusion of monitoring data and distribution prior. …”
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DEEP STRUCTURE, TECTONIC EVOLUTION AND HYDROCARBON POTENTIAL OF THE KALAMIT SWELL (NORTHWESTERN SHELF OF THE BLACK SEA) ACCORDING TO DENSITY MODELING DATA by M.V. Kozlenko, Yu.V. Kozlenko

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Discovering Data Sets in Unstructured Corpora: Discovering Use and Identifying New Opportunities by Nick Pallotta, John M Locklear, Xiangyu Ren, Victor Robila, Adel Alaeddini

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The Effect of Different Components of the Brainling Model (i.e., Cultuling, Cogling, Sensoling, and Emoling) on their Recall and Retention of Complex Structures: EFL Learners’ Perc... by Mohadese Karimi, Neda Fatehi Rad, Vale Jalali

“…This research used a semi-structured interview with five open-ended questions to collect the data. …”
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Research and development of data compression methods for technical monitoring systems by A. G. Yakunin

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Selection of a Probability Model Adapted to the Current Climate for Annual Maximum Daily Rainfall in the Benin Mono-Couffo Basin (West Africa) by Voltaire Midakpo Alofa, Mathieu B. Hounsou, Grâce-Désirée Houeffa, Yèkambèssoun N’tcha M’po, David Houéwanou Ahoton, Expédit Vissin, Euloge Agbossou

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Multi-stage hashing network storage structure for intelligent routing by Feng ZHU, Qun HUANG

“…Network data collection and storage are fundamental for intelligent routing control,providing massive flow data for model training and decision-making.However,as the key device in network storage system,switches have very limited memory size and design flexibility,which can’t satisfy the needs of intelligent routing control for comprehensive high-precision data and lightweight storage system,thus reducing the effectiveness of intelligent routing control.A multi-stage hashing network storage structure (MHNSS) was proposed for intelligent routing control,which fully utilized the limited memory resource of switch and completed network data storage with low collision rate.The number of candidate buckets of the flow key was augmented by multi-stage hash table,thus reducing collision rate and improving memory load ratio.Hash collision was resolved via coarse-grained timestamp LRU algorithm,which always stored most recently used data and cleared least recently used data to avoid subsequent collisions as far as possible.Trace-driven experiments showed that compared with widely used single hash table,MHNSS had significant performance advantage in collision rate and load ratio.…”
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Evaluation of Clinical Competencies and Feedback of Senior Dental Students with Objective Structured Clinical Examination (OSCE) by Maryam Basirat, Fatemeh Rahbar Masouleh, Mehran Falahchai, Abtin Heidarzadeh

“…Introduction: The Objective Structured Clinical Examination (OSCE) serves as a scientific evaluation method that effectively enhances clinical assessment techniques and transforms management strategies to solve educational problems. …”
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Generation of Structural Components for Indoor Spaces from Point Clouds by Junhyuk Lee, Yutaka Ohtake, Takashi Nakano, Daisuke Sato

“…Currently, particularly in data-driven modeling methods, data preprocessing for dividing structural components and nonstructural components is required before modeling. …”
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Structural insights into Beclin 1 interactions with it's regulators for autophagy modulation by Debapriyo Sarmadhikari, Shailendra Asthana

“…This challenge is further compounded by the absence of structural data, which makes deciphering the intricate web of PPIs even more difficult. …”
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Analysis of the structure of palliative pathology in children of the Voronezh region in 2021 by Yu. Yu. Razuvaeva, V. S. Ledneva, L. V. Ulyanova

“…In the Voronezh region, the largest number of patients with palliative pathology is located in the Novousmansky district, which can be attributed to the immediate proximity of the district to the city. According to the structure of the detected palliative pathologies, non-oncological diseases prevail in children of the Voronezh region, which is compared with statistical data for Russia. …”
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