89 hasil untuk "Amini"
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Artikel Jurnal Teks lengkap
Dilation of tricuspid valve annulus immediately after rupture of chordae tendineae in ex-vivo porcine hearts
Purpose: Chordae rupture is one of the main lesions observed in traumatic heart events that might lead to severe tricuspid valve (TV) regurgitation. TV regurgitation following chordae rupture is often well tolerated with few or no symptoms for most patients. However, early repair of the TV is of…
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Gold price prediction by a CNN-Bi-LSTM model along with automatic parameter tuning
Banking and stock markets consider gold to be an important component of their economic and financial status. There are various factors that influence the gold price trend and its fluctuations. Accurate and reliable prediction of the gold price is an essential part of financial and portfolio…
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Genetic Dissection of an Exogenously Induced Biofilm in Laboratory and Clinical Isolates of E. coli
Microbial biofilms are a dominant feature of many human infections. However, developing effective strategies for controlling biofilms requires an understanding of the underlying biology well beyond what currently exists. Using a novel strategy, we have induced formation of a robust biofilm in…
Dari koleksi institusi
- Penilaian terhadap matahari , manusia, dan makananNasution, Andi hakim; Nasution, Amini · 1983 · Universitas Riau (UNRI)
- Asia tenggara dalam perspektif netralitas dan netralismeAndi Hakim Nasution dan Amini Nasution · 1985 · UNILAK
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The role of elastin on the mechanical properties of the anterior leaflet in porcine tricuspid valves
Elastin is present in the extracellular matrix (ECM) of connective tissues, and its mechanical properties are well documented. In Marfan syndrome, however, the inability to properly code for the protein fibrillin-1 prematurely leads to the degradation and loss of elastin fiber integrity in the ECM…
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Artikel Jurnal Teks lengkap
Optimal planning and partitioning of multiple distribution Micro-Grids based on reliability evaluation
Power system researcher have turned to Micro-Grids (MG) for higher reliability, greater flexibility, lower operating costs and losses, and lower CO2 emissions at the distribution system. This paper presents a single-level stochastic optimization framework for planning and partitioning of a…
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Scenario-based portfolio optimization via bootstrapping and machine learning methods: Theory development and empirical evidence from the Tehran Stock Market
Predicting future returns and modeling return uncertainty are essential yet challenging tasks in portfolio optimization. To address these issues, this study proposes a hybrid approach combining machine learning for return prediction, bootstrapping for uncertainty modeling, and scenario optimization…
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A growing threat: Investigating the high incidence of benzimidazole fungicides resistance in Iranian Botrytis cinerea isolates
Effective management of fungicide application programs requires monitoring the profile of resistant populations of Botrytis cinerea, given its high-risk nature. This research aimed to examine the sensitivity of 200 B. cinerea isolates collected from different plant species and regions across Iran…
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Growth condition dependency is the major cause of non-responsiveness upon genetic perturbation
Investigating the role and interplay between individual proteins in biological processes is often performed by assessing the functional consequences of gene inactivation or removal. Depending on the sensitivity of the assay used for determining phenotype, between 66% (growth) and 53% (gene…
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The sudden transition to online learning: Teachers’ experiences of teaching during the COVID-19 pandemic
Introduction: The sudden transition from face-to-face teaching to virtual remote education and the need to implement it during COVID-19 initially posed specific challenges to educational institutions. Identifying and understanding teachers’ experiences pave the way for discovering and meeting…
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Spliceozymes: Ribozymes that Remove Introns from Pre-mRNAs in Trans
Group I introns are pre-mRNA introns that do not require the spliceosome for their removal. Instead, they fold into complex three-dimensional structures and catalyze two transesterification reactions, thereby excising themselves and joining the flanking exons. These catalytic RNAs (ribozymes) have…
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Benchmarking uncertainty quantification for protein engineering
Machine learning sequence-function models for proteins could enable significant advances in protein engineering, especially when paired with state-of-the-art methods to select new sequences for property optimization and/or model improvement. Such methods (Bayesian optimization and active learning)…
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Fitness Landscape of Antibiotic Tolerance in Pseudomonas aeruginosa Biofilms
Bacteria in biofilms have higher antibiotic tolerance than their planktonic counterparts. A major outstanding question is the degree to which the biofilm-specific cellular state and its constituent genetic determinants contribute to this hyper-tolerant phenotype. Here, we used genome-wide…
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Correction: Physical modeling of the effect of shape, blockage, and flow variability on scour in culvert outlets
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Numerical modelling of downstream scour in circular culverts: Impact of inlet blockages and variable flow conditions
An accurate estimate of scour depth downstream of culvert outlets is essential for culvert design integrity. Inadequate designs can result in structural failures, leading to increased costs for maintenance and rehabilitation. The present research evaluates the efficacy of numerical models in…
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Artikel Jurnal Teks lengkap
Physical modeling of the effect of shape, blockage, and flow variability on scour in culvert outlets
The widespread use of culverts has prompted researchers to focus on developing precise designs to prevent their failure caused by scouring at the culvert outlet. This study employed physical modelling to investigate alternation in culvert outlets under different conditions, including variations in…
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Trainable subnetworks reveal insights into structure knowledge organization in protein language models
Protein language models (PLMs) pretrained via a masked language modeling objective have proven effective across a range of structure-related tasks, including high-resolution structure prediction. However, it remains unclear to what extent these models factorize protein structural categories among…
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On the stability of morphology and performance of neural interfacing electrodes fabricated via CO 2 -snow-assisted hierarchical surface restructuring
Long-term implantable neural interfacing devices play a critical role in treating various neurological disorders, with their functionality largely dependent on the performance of electrodes and microelectrode arrays. Femtosecond laser Hierarchical Surface Restructuring (HSR™) is an advanced surface…
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The mediating roles of academic self-efficacy and learning interest in the relationship between teaching style and math behavior engagement among junior high school students in China
Teacher guidance can positively impact students’ learning interest and mathematical behavior engagement. As a crucial part of classroom teaching, effective teaching styles play an indispensable role in middle school students’ mathematical behavior engagement. This study addresses the gap in…
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Designing Iranian hospital organizational charts: Global comparisons
Background: Hospitals should have effective and efficient organizational charts to face the changing healthcare environment. Thus, for this purpose, the present study seeks to compile an organizational chart for Iranian hospitals. Materials and methods: The present study was conducted in two phase…
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Effectiveness of cold atmospheric plasma on Staphylococcus Aureus colonies on living animal tissue surface
Staphylococcus aureus (S. aureus) is the most common pathogen associated with skin infections worldwide. Significant efforts have been made to identify and develop innovative therapeutic strategies against S. aureus as alternatives to conventional antibiotics. Physical plasma has a broad range of…