Publications by authors named "Alireza Baghban"

Background: Gait initiation (GI) can be divided into three sections according to the center of pressure (COP) trace (S1, S2, and S3). Almost all studies do not separate each phase of the GI profile in postural control assessment and muscular investigation, whereas differences in the COP and muscles are found in each phase of the GI profile in people with gait problems.

Methods: Twenty individuals with CAI and twenty healthy controls were included in the present study.

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Introduction: Many stroke patients suffer from dysfunction in their upper limbs, which can lead to difficulties in performing activities of daily living (ADL) as well as social and work interactions. This is particularly true for patients whose dominant side has been affected. The aim of the current study was to explore how effective visual biofeedback could improve fine motor function in the hand and ADL for people suffering from a stroke.

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Objectives: To assess the differences between adjunctive therapy with Concentrated Growth Factor (CGF), Platelet-rich Fibrin (PRF) membranes, and available control groups in the clinical outcomes of root coverage.

Materials And Methods: Randomized controlled clinical trials (RCTs) were identified in Pubmed/Medline, Scopus, and ISI Web of Science databases to assess the treatments after 6 months using a Bayesian random-effect network meta-analysis (NMA) framework regarding reduction in pocket depth (PD), clinical attachment loss (CAL), recession depth (RD), and width (RW), as well as, keratinized tissue width (KTW) and thickness (KTT) gain, and complete (CRC) and mean (MRC) root coverage percentages.

Results: Thirty-two RCTs were included, from which 27, 18, 12, eight, one, and one studies investigated PRF, connective tissue graft (CTG), flap alone, CGF, enamel matrix derivative (EMD), and dehydrated amniotic membrane, respectively.

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Objective: To evaluate the anesthetic efficacy of 4% articaine with 1:100,000 epinephrine via primary intraosseous (IO) injection with the QuickSleeper device vs inferior alveolar nerve block (IANB) for mandibular first molars diagnosed with symptomatic irreversible pulpitis (SIP).

Methods: Sixty-four patients with a first mandibular molar with SIP were randomly divided into 2 groups: IO (n = 32) and IANB (n = 32). Each received either an IO injection with the 5th generation QuickSleeper device or a conventional IANB with 1.

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Background: Pregnant women have poor knowledge of oral hygiene during pregnancy. One problem with the follow-up of dental caries in this group is zero accumulation in the decayed, missing, and filled teeth (DMFT) index, for which some models must be used to achieve valid results. The studied population may be heterogeneous in longitudinal studies, leading to biased estimates.

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Purpose: One of the most obvious functional effects of aging on the cognitive and processing processes of spatial hearing is the localization problem and the disorder of speech perception in noise. The purpose of the present study is to investigate the performance of dynamic spatial auditory processing in the elderly.

Methods: This descriptive and analytical study was conducted on 60 young participants aged from18 to 25 years old and 60 elderly participants aged from 60 to 75 old years, using speech, spatial, and qualities of hearing scale (SSQ) questionnaire, binaural masking level difference (BMLD) and dynamic quick speech in noise (DS-QSIN) tests.

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Background: Proprioception is critical for older adults to maintain their balance and prevent falling. However, massage is a convenient intervention that its beneficial effect on the proprioception is suggested.

Purpose: This study aimed to determine whether one session of stimulating massage of the muscles around the knee joint improves position sense in older adult men.

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Objectives: This study aimed to compare the effect of flexi-bar and stabilization exercises on static and dynamic postural control in patients with chronic nonspecific low back pain.

Patients And Methods: In this randomized controlled study conducted between November 2019 and March 2020, 38 patients (19 males, 19 females; mean age: 33.8±6.

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Background: Convergence insufficiency is a common issue in the field of binocular vision. Various treatment options have been suggested for managing this condition, but their efficacy in individuals with presbyopia remains unclear. The objective of this study is to compare the effectiveness of home-based vision therapy and prism prescription, in presbyopic patients with convergence insufficiency.

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This study explores the potential of photocatalytic degradation using novel NML-BiFeO (noble metal-incorporated bismuth ferrite) compounds for eliminating malachite green (MG) dye from wastewater. The effectiveness of various Gaussian process regression (GPR) models in predicting MG degradation is investigated. Four GPR models (Matern, Exponential, Squared Exponential, and Rational Quadratic) were employed to analyze a dataset of 1200 observations encompassing various experimental conditions.

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Fatigue and balance disorders are common challenges experienced by Multiple Sclerosis (MS) individuals. The purpose of this study was to compare the concurrent effects of cerebellar and prefrontal anodal trans-cranial direct current stimulation (a-tDCS) with postural training on balance and fatigue in MS patients. 51 patients were evaluated to randomly allocation to a-tDCS over cerebellum, a-tDCS over dorsolateral prefrontal cortex (DLPFC) and sham group.

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This study presents a novel model for accurately estimating the densities of 48 refrigerant systems, categorized into five groups: Hydrofluoroethers (HFEs), Hydrochlorofluorocarbons (HCFCs), Perfluoroalkylalkanes (PFAAs), Hydrofluorocarbons (HFCs), and Perfluoroalkanes (PFAs). Input variables, including pressure, temperature, molecular weight, and structural groups, were systematically considered. The study explores the efficacy of both the multilayer perceptron artificial neural network (MLP-ANN) and adaptive neuro-fuzzy inference system (ANFIS) methodologies in constructing a precise model.

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The AB metal hydrides are one of the preferred choices for hydrogen storage. Meanwhile, the estimation of hydrogen storage capacity will accelerate their development procedure. Machine learning algorithms can predict the correlation between the metal hydride chemical composition and its hydrogen storage capacity.

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This study focuses on the utilization of connectionist models, specifically Independent Component Analysis (ICA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Genetic Algorithm-Particle Swarm Optimization (GAPSO) integrated with a least-squares support vector machine (LSSVM) to forecast the degradation of tetracycline (TC) through photocatalysis using Metal-Organic Frameworks (MOFs). The primary objective of this study was to evaluate the viability and precision of these connectionist models in estimating the efficiency of TC degradation, particularly within the context of wastewater treatment. The input parameters for these models cover essential MOF characteristics, such as pore size and surface area, along with critical operational factors, such as pH, TC concentration, catalyst dosage, and illumination duration, all of which are linked to the photocatalytic performance of MOFs.

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Objectives: To evaluate a modified two-step buccal infiltration (MBI) of 1.7 mL 4% articaine as primary or supplemental anesthesia in mandibular first and second molars diagnosed with symptomatic irreversible pulpitis (SIP).

Materials And Methods: One hundred and eight patients with SIP were randomly assigned to one of three groups (n = 36).

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Objectives: The aim of this ecological study was to assess the association between behavioral, social position, circumstance factors, and caries experience in 35- to 44-year-old adults in Iran at a provincial level.

Materials And Methods: The data from the 2011 Iranian Oral Health Survey were obtained from all 31 provinces across Iran on the population level. Oral health status was measured as the number of decayed, missing (MT), and filled (FT) teeth and the percentage of the population who were edentulous.

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In recent years, deep eutectic solvents (DESs) have garnered considerable attention for their potential in carbon capture and utilization processes. Predicting the carbon dioxide (CO) solubility in DES is crucial for optimizing these solvent systems and advancing their application in sustainable technologies. In this study, we presented an evolving hybrid Quantitative Structure-Property Relationship and Gaussian Process Regression (QSPR-GPR) model that enables accurate predictions of CO solubility in various DESs.

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Objective: The purpose of this study was to investigate the effect of combining 2 exercises at different angles of the hip joint on the thickness of the transverse abdominis and internal oblique muscles.

Methods: Twenty-eight healthy adults (22.7 ± 2.

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One of the present great challenges is finding nonprecious materials characterized by efficient electrocatalytic behavior in order to substitute the expensive platinum-based materials for the purpose of hydrogen evolution reactions (HERs). In this study, ZIF-67 and ZIF-67 were used as precursors in order to fabricate metallic-doped N-enriched carbon successfully through a simple process of pyrolysis for applying the hydrogen evolution reaction. In addition, nickel was added to these structures in the course of the synthesis procedure.

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Introduction: This study aimed to assess the alveolar bone thickness (ABT) and labiolingual inclination of maxillary and mandibular central incisors in patients with Class I and II skeletal patterns with normal-angle, high-angle, and low-angle vertical patterns.

Methods: The study sample consisted of 200 cone-beam computed tomography scans of patients with skeletal Class I and II malocclusions. Each group was further divided into low-angle, normal-angle, and high-angle subgroups.

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Objective: The management of postoperative endodontic pain (PEP) is essential to contemporary endodontic practice. Diclofenac and ibuprofen (IBU) are two of the most widely-used non-steroidal anti-inflammatory analgesics. However, their comparative data are neither sufficient nor conclusive.

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Hydrogen is a promising alternative energy source due to its significantly high energy density. Also, hydrogen can be transformed into electricity in energy systems such as fuel cells. The transition toward hydrogen-consuming applications requires a hydrogen storage method that comes with pack hydrogen with high density.

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Recently, electrochemical reduction of CO into value-added fuels has been noticed as a promising process to decrease CO emissions. The development of such technology is strongly depended upon tuning the surface properties of the applied electrocatalysts. Considering the high cost and time-consuming experimental investigations, computational methods, particularly machine learning algorithms, can be the appropriate approach for efficiently screening the metal alloys as the electrocatalysts.

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Pyrolysis gasoline is the valuable byproduct of the thermal breakdown of heavier oil fractions in an olefin unit with high aromatic content. To separate such aromatic components, firstly, this product should be hydrogenated. In this contribution, new nanostructure catalysts derived from the zeolitic metal-organic framework, namely ZIF-8 and ZIF-67, were used to investigate their hydrogenation capability.

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