Publications by authors named "Yerebakan M"

We aimed to investigate the wound-healing, antioxidant, and anti-inflammatory effects of pterostilbene (PTS) on human gingival fibroblasts (GF). Different concentrations of PTS were applied to GFs and cell viability was evaluated by MTT assay. GFs were stimulated by lipopolysaccharide (LPS) and the study groups were determined as LPS, LPS + 1 μM PTS, LPS + 10 μM PTS, and control.

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Objective: The purpose of this study is to identify the potential biomechanical and cognitive workload effects induced by human robot collaborative pollination task, how additional cues and reliability of the robot influence these effects and whether interacting with the robot influences the participant's anxiety and attitude towards robots.

Background: Human-Robot Collaboration (HRC) could be used to alleviate pollinator shortages and robot performance issues. However, the effects of HRC for this setting have not been investigated.

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Pollination for indoor agriculture is hampered by environmental conditions, requiring farmers to pollinate manually. This increases the musculoskeletal illness risk of workers. A potential solution involves Human-Robot Collaboration (HRC) using wearable sensor-based human motion tracking.

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Melanoma is a relatively rare tumour with tendency to metastasize to the gastrointestinal tract. Metastasis to the intestine constitutes a majority of the gastrointestinal tract melanoma metastases and confers a poor prognosis. While post-mortem studies detect that more than half of the melanoma patients have gastrointestinal tract metastasis, only minority are diagnosed, and even rarer present with intussusception.

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As technology advances, Human-Robot Interaction (HRI) is boosting overall system efficiency and productivity. However, allowing robots to be present closely with humans will inevitably put higher demands on precise human motion tracking and prediction. Datasets that contain both humans and robots operating in the shared space are receiving growing attention as they may facilitate a variety of robotics and human-systems research.

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With the rapid development of Internet of Things (IoT) technologies, traditional disease diagnoses carried out in medical institutions can now be performed remotely at home or even ambient environments, yielding the concept of the Internet of Health Things (IoHT). Among the diverse IoHT applications, inertial measurement unit (IMU)-based systems play a significant role in the detection of diseases in many fields, such as neurological, musculoskeletal, and mental. However, traditional numerical interpretation methods have proven to be challenging to provide satisfying detection accuracies owing to the low quality of raw data, especially under strong electromagnetic interference (EMI).

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Background: We aimed to evaluate the prevalence of predisposing factors and oral manifestations in SARS-CoV-2 infection.

Material And Methods: 204 SARS-CoV-2 positive patients were included in the study. Questions regarding the systemic, periodontal health, oral hygiene habits, common symptoms and, oral manifestations of COVID-19 such as oral lesions, and dry mouth were included in the survey.

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Article Synopsis
  • - The study explores how different writing surfaces (like tablets and paper) and orientations (horizontal, 45°, vertical) affect muscle activation during writing tasks.
  • - Fourteen adults participated in a study using muscle sensors to measure activation in their arms while writing, revealing that tablet usage generally resulted in lower forearm muscle activity compared to other surfaces.
  • - The 45° orientation showed the least muscle activation overall, but not for the anterior deltoid muscle, which was least active in the horizontal position; further research is suggested for longer writing sessions.
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Personal and environmental factors both increase the likelihood of falling injuries while negotiating obstacles. Eighteen male participants (seven older, eleven young) were recruited to walk over an obstacle with and without loads on their hands to study the effects of age, load carriage modes, and limb crossing patterns on gait during obstacle negotiation. Participants initiated tasks with either their dominant or non-dominant leg.

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