Publications by authors named "Zueheyla Galata"

In this decade, one of the major trends in the pharmaceutical industry is the adoption of continuous manufacturing. This requires the development of continuous equivalents of essential pharmaceutical processes such as film coating. The process of film coating is the last step of the processing of solid dosage forms and is critical because it determines the visual appearance of the end product, along with ensuring its stability and possibly even defining the rate of drug release.

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A woman in her 70s presented with features of hyperandrogenism including clitoral enlargement and deepening of her voice. Biochemical investigations revealed raised plasma androgens and urinary androgen metabolites and imaging findings showed a highly F-18 fluorodeoxyglucose (FDG)-PET avid left adrenal tumour initially suspected to be a malignant adrenocortical carcinoma (ACC). She subsequently underwent an uncomplicated laparoscopic adrenalectomy where complete resection of her tumour was achieved.

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This study investigates the simultaneous prediction of active pharmaceutical ingredient (API) concentration and mass gain in film-coated tablets using Partial Least Squares (PLS) regression combined with three data fusion (DF) techniques: Low-Level (LLDF), Mid-Level (MLDF), and High-Level (HLDF). Near-Infrared (NIR) and Raman spectroscopy were utilized in both reflection and transmission modes, providing four types of spectral data per tablet. Transmission models proved more effective for API prediction by capturing data from the entire tablet, while reflection models excelled in assessing mass gain by focusing on the surface layer.

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This paper presents novel measurement methods, where deep learning was used to detect tableting defects and determine the crushing strength and disintegration time of tablets on images captured by machine vision. Five different classes of defects were used and the accuracy of the real-time defect recognition performed with the deep learning algorithm YOLOv5 was 99.2 %.

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Microplastics, particularly microfibres (< 5 mm), are a significant environmental pollutant. Detecting and quantifying them in complex matrices is challenging and time-consuming. This study presents two open-source visual recognition models, YOLOv7 and Mask R-CNN, trained on extensive datasets for efficient microfibre identification in environmental samples.

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Article Synopsis
  • A new quality assurance system was created using Process Analytical Technology (PAT) and artificial intelligence (AI) to monitor key qualities in drug formulations.
  • The study focused on doxycycline-hyclate (a type of antibiotic) embedded in a matrix of 2-hydroxypropyl-β-cyclodextrin, with the formulations analyzed through high-speed electrospinning.
  • Advanced techniques like Raman and NIR sensors, along with a convolutional neural network (CNN), were utilized for assessing drug concentration, morphology, and fiber diameter, improving the efficiency and effectiveness of drug formulation quality checks.
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In the pharmaceutical industry, filtration is traditionally carried out in batch mode. However, with the spread of continuous technologies, there is an increasing demand for robust continuous filtration strategies suitable for processing suspensions produced in continuous crystallizers. Accordingly, this study aimed to investigate a lab-scale horizontal conveyor belt filtration approach for pharmaceutical separation purposes for the first time.

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Introduction: Lung cancer is the malignancy with the highest mortality rate worldwide. In January 2025, the German public healthcare system will introduce a new regulation according to which a centre can offer surgery for lung cancer only if it carries out a minimum number of lung resections. The purpose of this directive is to reduce the number of centres offering surgical treatment for primary lung cancer, thus centralising and improving lung cancer care.

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Twin-screw wet granulation (TWSG) is a promising continuous alternative of pharmaceutical wet granulation. One of its benefits is that the components dissolved in the granulation liquid are distributed homogeneously in the granules. This provides an elegant way to manufacture products with ultralow drug doses.

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Background: This study investigated the role of the thoracic skeletal muscle mass as a marker of sarcopenia on postoperative mortality in pleural empyema.

Methods: All consecutive patients (n = 103) undergoing surgery for pleural empyema in a single tertiary referral center between January 2020 and December 2022 were eligible for this study. Thoracic skeletal muscle mass index (TSMI) was determined from preoperative computed tomography scans.

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Surface powder sticking in pharmaceutical mixing vessels poses a risk to the uniformity and quality of drug formulations. This study explores methods for evaluating the amount of pharmaceutical powder mixtures adhering to the metallic surfaces. Binary powder blends consisting of amlodipine and microcrystalline cellulose (MCC) were used to investigate the effect of the mixing order on the adherence to the vessel wall.

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Recently, concerns have been raised about the safety of titanium dioxide (TiO), a commonly used component of pharmaceutical film coatings. The European Union has recently prohibited the application of this material in the food industry, and it is anticipated that the same will happen in the pharmaceutical industry. For this reason, pharmaceutical manufacturers have to consider the possible impact of removing TiO from the film coating of tablets.

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Background: The optimal placement of a chest drain after video-assisted minimally invasive lobectomy should facilitate the aspiration of air and drainage of fluid. Typically, a conventional 24Ch polyvinyl chloride chest drain is used for this purpose. However, there is currently no scientific literature available on the impact of drain diameter on postoperative outcomes following anatomical lung resection.

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This work presents a system, where deep learning was used on images captured with a digital camera to simultaneously determine the API concentration and the particle size distribution (PSD) of two components of a powder blend. The blend consisted of acetylsalicylic acid (ASA) and calcium hydrogen phosphate (CHP), and the predicted API concentration was found corresponding with the HPLC measurements. The PSDs determined with the method corresponded with those measured with laser diffraction particle size analysis.

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Background: Uniportal robotic-assisted thoracic surgery (uRATS) has emerged as a promising technique with potential advantages over multiportal approaches. This study aims to evaluate our initial outcomes of uRATS.

Material And Methods: Five patients underwent anatomic lung resections with systematic nodal dissection through a uniportal robotic approach by one surgeon.

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In this work, the performance of two fast chemical imaging techniques, Raman and near-infrared (NIR) imaging is compared by utilizing these methods to predict the rate of drug release from sustained-release tablets. Sustained release is provided by adding hydroxypropyl methylcellulose (HPMC), as its concentration and particle size determine the dissolution rate of the drug. The chemical images were processed using classical least squares; afterwards, a convolutional neural network was applied to extract information regarding the particle size of HPMC.

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Background: Both subtotal parathyroidectomy (SPTX) and total parathyroidectomy with autotransplantation (TPTX + AT) are considered acceptable surgical approaches for renal patients. It is common that parathyroid surgery is performed in patients before they undergo kidney transplantation and there is currently no evidence considering the best surgical approach in this subset of patients.

Methods: Two cohorts were identified of consecutive patients who underwent parathyroidectomy for renal hyperparathyroidism by two surgeons at a single institution over equivalent time periods (SPTX and TPTX + AT).

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Aim: We seek a simple and reliable tool to predict malignant behavior of pheochromocytoma and paraganglioma (PPGL).

Methods: This single-center prospective cohort study assessed size of primary PPGLs on preoperative cross-sectional imaging and prospectively scored specimens using the Pheochromocytoma of the Adrenal Gland Scaled Score (PASS). Multiplication of PASS points with maximum lesion diameter (in mm) yielded the SIZEPASS criterion.

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This paper presents a machine learning-based image analysis method to monitor the particle size distribution of fluidized granules. The key components of the direct imaging system are a rigid fiber-optic endoscope, a light source and a high-speed camera, which allow for real-time monitoring of the granules. The system was implemented into a custom-made 3D-printed device that could reproduce the particle movement characteristic in a fluidized-bed granulator.

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Background: Despite technical advances, day surgery still accounts for <1 % of adrenal procedures. We investigated feasibility and safety of same day adrenalectomy (SDA).

Methods: Between We recruited 30 patients with primary hyperaldosteronism (PHA) or Cushing's syndrome (CS) into a prospective matched, single centre cohort study to evaluate the impact of exposure to a same day discharge pathway (SDA cohort;  = 10) or inpatient adrenalectomy (PIPA cohort;  = 20).

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The adhesion enhancement of a graphene oxide (GO) layer on porous ceramic substrates is a crucial step towards developing a high-performance membrane for many applications. In this work, we have achieved the chemical anchoring of GO layers on custom-made macroporous disks, fabricated in the lab by pressing α-AlO powder. To this end, three different linkers, polydopamine (PDA), 3-Glycidoxypropyltrimethoxysilane (GPTMS) and (3-Aminopropyl) triethoxysilane (APTMS), were elaborated for their capacity to tightly bind the GO laminate on the ceramic membrane surface.

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A rare case of a patient with chronic obstructive pulmonary disease who developed secondary anthracofibrosis to biomass exposure, fibrosing mediastinitis due to anthracotic enlarged lymph nodes in the mediastinum, and pulmonary hypertension because of compres- sion of the lymph nodes on the pulmonary arteries is presented. This is a case report of a 71-year-old female patient who has been followed up with chronic obstructive pulmonary disease for 10 years, has no history of smoking, and has been exposed to biomass for many years. The patient, who had been hospitalized in various centers for the last 3 years due to progressive shortness of breath and dry cough, applied to us with dry cough and dyspnea complaints.

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Objective: To determine the magnitude of hypertension, its association with obesity and the associated factors among employees of Wallaga University, Ethiopia.

Design, Setting And Participants: This institution-based cross-sectional study was employed among 588 employees of the university. Respondents were selected by stratified random sampling technique and interviewed with the aid of a structured questionnaire.

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Background: The aim of this study was to evaluate risk factors for red blood cell (RBC) transfusion in non-cardiac thoracic surgery.

Methods: All patients undergoing non-cardiac thoracic surgery in a single tertiary referral center between January and December 2021 were eligible for this study. Data on blood requests and perioperative RBC transfusion were retrospectively analyzed.

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In this work, the capabilities of a state-of-the-art fast Raman imaging apparatus are exploited to gain information about the concentration and particle size of hydroxypropyl methylcellulose (HPMC) in sustained release tablets. The extracted information is utilized to predict the in vitro dissolution profile of the tablets. For the first time, convolutional neural networks (CNNs) are used for the processing of the chemical images of HPMC distribution and to directly predict the dissolution profile based on the image.

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