Search Results - use defined function
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Acceleration of boundary element calculations for closed domain using nonlinear form functions and CUDA technology
Published 2021-06-01“…The main goal of the paper is implementation and acceleration of indirect boundary element method using three form functions. Calculation of the potentialdistribution inside a closed boundary under the action of the defined boundary condition is considered. …”
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On Light Mapping and Certain Concepts by Using m_X N-Open Sets
Published 2020-03-01“…The aim of this paper is to present a weak form of -light functions by using -open set which is -light function, and to offer new concepts of disconnected spaces and totally disconnected spaces. …”
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An analysis of pacing profiles in sprint kayak racing using functional principal components and hidden Markov models.
Published 2025-01-01“…This study analysed sprint kayak pacing profiles in order to categorise and compare an athlete's race profile throughout their career. We used functional principal component analysis of normalised velocity data for 500m and 1000m races to quantify pacing. …”
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A Survey on Software Defined Network-Enabled Edge Cloud Networks: Challenges and Future Research Directions
Published 2025-05-01“…Because of the distributed nature of edge cloud networks, many research works considering software defined networks (SDNs) and network–function–virtualization (NFV) could be key enablers for managing, orchestrating, and load balancing resources. …”
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Fekete -Szego Problem for Certain Subclass of q-Difference Operator Using Quasi-Subordination
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Pengembangan Aplikasi Pemantauan Jaringan Berbasis Web pada Software-Defined Networking dengan Protokol SFLOW
Published 2021-11-01“…Hasil survei menunjukkan bahwa aplikasi memiliki tampilan informatif dan ramah pengguna, serta dapat memudahkan pemantauan traffic SDN. Abstract Software-defined networking (SDN) is one of the network architectures which programmable to ease network management using the controller application. …”
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Measurement of flow-mediated dilatation using a pulse oximeter probe (Comparison with RH-PAT)
Published 2025-06-01“…Flow-dependent dilatation test using Endo-PAT is conventionally used to evaluate vascular endothelial function; however, this method is costly. …”
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A theory of intervention model to define the essential characteristics of music to support emotion regulation development in early childhood
Published 2025-07-01“…The specific components define the active ingredients needed to produce the intended outcomes for preschooler ER development through the Therapeutic Function of Music (TFM) Plan, with an emphasis on the role of tempo in the intervention. …”
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Evaluating Resistance to Acetyl Salicylic Acid Using Platelet Function Test in Patients with Ischemic Stroke at Cipto Mangunkusumo Hospital
Published 2015-04-01“…Evaluation of resistance to ASA was performed using Verifynow® platelet function test. ASA resistance was defined as ASA reaction unit (ARU) ≥550. …”
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Evaluating Resistance to Acetyl Salicylic Acid Using Platelet Function Test in Patients with Ischemic Stroke at Cipto Mangunkusumo Hospital
Published 2015-04-01“…Evaluation of resistance to ASA was performed using Verifynow® platelet function test. ASA resistance was defined as ASA reaction unit (ARU) ≥550. …”
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Sarcopenia defined by multidimensional factors and its prognostic role in heart failure: a systematic review and meta-analysis
Published 2025-07-01“…ObjectiveTo perform a systematic review and meta-analysis evaluating the impact of sarcopenia—defined by reductions in muscle mass, strength, and/or function—on clinical outcomes in patients with heart failure (HF), thereby informing more effective management strategies.MethodsA comprehensive literature search was conducted through 14 February 2025, using PubMed, Embase, Cochrane Library, and CNKI to identify prospective and retrospective cohort studies involving HF patients diagnosed with sarcopenia based on Asian Working Group for Sarcopenia (AWGS), European Working Group on Sarcopenia in Older People (EWGSOP2), or Ishii criteria. …”
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FUNDAMENTALS OF COMPARATIVE ANALYSIS IN THE CONTEXT OF USE OF DIDACTIC AND SCIENTIFIC THEORETIZATION
Published 2022-02-01“…The article defines the historical and pedagogical, epistemological and didactic, value-semantic, functional-labor and system-activity foundations of a comparative analysis. …”
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High resolution crop intensity mapping using harmonized Landsat-8 and Sentinel-2 data
Published 2019-12-01“…The sixth polynomial function was used to fit the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) curves. …”
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Hankel determinants for q-starlike functions connected with q-sine function
Published 2025-06-01“…This qq-sine function is defined by using the qq-exponential function and has the symmetric geometric structure. …”
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Methods for analyzing the impact of software changes on objective functions and safety functions
Published 2024-04-01“…This paper examines the various approaches to analyzing the impact of software changes, and suggests a new method using function control flows. Impact analysis of software change can require the investment of a lot of time and competence on the part of the expert conducting it. …”
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Liver Functional Evaluation Using Gadoxetic Acid Versus the Gold Standard Hepatobiliary Scintigraphy in Patients with Bile Duct Diseases
Published 2019-09-01“…Objective. To compare liver function assessments using Gd-EOB-DTPA-enhanced MRI and the gold standard hepatobiliary scintigraphy (HBS) in patients with bile duct diseases.Material and methods. …”
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SUMOylation-related genes define prognostic subtypes in stomach adenocarcinoma: integrating single-cell analysis and machine learning analyses
Published 2025-08-01“…While SUMOylation, a post-translational modification, regulates tumor progression, its prognostic and immunological roles in STAD remain underexplored.MethodsPrognostic SUMOylation-related genes (SRGs) were screened via univariate Cox regression, and patients were stratified into molecular subtypes using unsupervised consensus clustering. A SUMOylation Risk Score (SRS) model was developed using 69 machine learning models across 10 algorithms, with performance evaluated by C-index and AUC. …”
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