Publications by authors named "G Unal"

Robots are increasingly used alongside Skinner boxes to train animals in operant conditioning tasks. Similarly, animals are being employed in artificial intelligence research to train various algorithms. However, both types of experiments rely on unidirectional learning, where one partner-the animal or the robot-acts as the teacher and the other as the student.

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Rationale: Neuroleptic malignant syndrome (NMS) is a rare, life-threatening complication of neuroleptic (antipsychotic) medications. Paliperidone is an atypical antipsychotic used in the treatment of schizophrenia. While current evidence suggests that atypical oral antipsychotics have a lower incidence of NMS compared to typical oral antipsychotics, there is limited information available on the incidence and management of NMS associated with long-acting injectable (LAI) antipsychotics.

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This Letter presents a search for highly ionizing magnetic monopoles in 262  μb^{-1} of ultraperipheral Pb+Pb collision data at sqrt[s_{NN}]=5.36  TeV collected by the ATLAS detector at the LHC. A new methodology that exploits the properties of clusters of hits reconstructed in the innermost silicon detector layers is introduced to study highly ionizing particles in heavy-ion data.

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Background: Stress arises in response to threats or challenges, affecting both physical and mental health. While its harmful effects on the heart are widely recognized, cellular-level investigations remain limited. Antidepressants, including vortioxetine (VOR), are known to impact the cardiovascular system.

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Z boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of Z boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins.

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