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Article Citation - WoS: 1Citation - Scopus: 2Incidental Detection of Ectopic Liver Tissue During Elective Cholecystectomy: a Case Report(Frontiers Media Sa, 2025) Emral, Ahmet CihangirIntroduction Ectopic liver tissue (ELT) is a rare embryological anomaly most commonly found in the abdominal region, particularly on the gallbladder. It is generally asymptomatic and is often discovered incidentally during surgery or autopsy. Although histologically similar to the main liver, ELT should be excised due to the potential risk of malignancy.Case presentation This study presents a case of incidental ELT discovered during elective cholecystectomy in a 34-year-old female patient. Preoperative imaging revealed multiple gallstones, and during laparoscopic exploration, an ectopic liver tissue lesion was found on the gallbladder fundus. The lesion, measuring 10 x 5 mm, was excised en bloc with the gallbladder and sent for pathological examination, which showed no malignancy.Discussion The rarity and asymptomatic nature of ELT make it difficult to diagnose preoperatively, but its association with malignant transformation warrants careful management. In cases of suspected malignancy, further surgical approaches such as extended surgical margins and regional lymph node dissection should be considered.Conclusion This case underscores the importance of early detection and excision of ectopic liver tissue due to its potential for malignant transformation.Article Citation - WoS: 1Citation - Scopus: 1Adaptive Stimulus Design for Dynamic Recurrent Neural Network Models(Frontiers Media Sa, 2019) Doruk, R. Ozgur; Zhang, KechenWe present an adaptive stimulus design method for efficiently estimating the parameters of a dynamic recurrent network model with interacting excitatory and inhibitory neuronal populations. Although stimuli that are optimized for model parameter estimation should, in theory, have advantages over nonadaptive random stimuli, in practice it remains unclear in what way and to what extent an optimal design of time-varying stimuli may actually improve parameter estimation for this common type of recurrent network models. Here we specified the time course of each stimulus by a Fourier series whose amplitudes and phases were determined by maximizing a utility function based on the Fisher information matrix. To facilitate the optimization process, we have derived differential equations that govern the time evolution of the gradients of the utility function with respect to the stimulus parameters. The network parameters were estimated by maximum likelihood from the spike train data generated by an inhomogeneous Poisson process from the continuous network state. The adaptive design process was repeated in a closed loop, alternating between optimal stimulus design and parameter estimation from the updated stimulus-response data. Our results confirmed that, compared with random stimuli, optimally designed stimuli elicited responses with significantly better likelihood values for parameter estimation. Furthermore, all individual parameters, including the time constants and the connection weights, were recovered more accurately by the optimal design method. We also examined how the errors of different parameter estimates were correlated, and proposed heuristic formulas to account for the correlation patterns by an approximate parameter-confounding theory. Our results suggest that although adaptive optimal stimulus design incurs considerable computational cost even for the simplest excitatory-inhibitory recurrent network model, it may potentially help save time in experiments by reducing the number of stimuli needed for network parameter estimation.Article The Educational Use of Facebook: A Phenomenological Exploration of Faculty Members' and Students' Lived Experiences(Frontiers Media Sa, 2025) Kadirhan, Zafer; Yildirim, SonerSocial media has become a pervasive element of higher education; however, the experiences of faculty and students with its educational use remain underexplored. This study employed a transcendental phenomenological design to investigate the lived experiences of three faculty members and 12 students who used Facebook as a learning tool. Data were collected through in-depth, semi-structured interviews and analyzed using Moustakas' transcendental phenomenological method, which allowed for the identification of the essence of participants' experiences while minimizing researcher bias. Findings indicate that Facebook facilitates communication, supports collaborative learning, and provides flexible access to educational resources, enhancing academic engagement. Participants reported benefits, including immediate information sharing and interactive peer support. However, challenges were also noted, including privacy concerns, potential distractions, and the informal nature of interactions, which may affect structured learning. These findings suggest that while Facebook can supplement formal education meaningfully, it should not replace traditional instruction. The study offers practical guidance on balancing engagement, privacy, and curriculum integration, providing educators with insight into thoughtfully leveraging social media in higher education. By presenting both benefits and limitations, this research contributes to a nuanced understanding of Facebook's educational role and informs strategies for its practical use.Editorial Editorial: Cells, Biomaterials, and Biophysical Stimuli for Bone, Cartilage, and Muscle Regeneration(Frontiers Media Sa, 2023) Fassina, Lorenzo; Bloise, Nora; Ramalingam, Murugan; Cusella De Angelis, Maria Gabriella; Visai, Livia[No Abstract Available]Article Citation - WoS: 25Citation - Scopus: 33Hybrid Eeg-Fnirs Bci Fusion Using Multi-Resolution Singular Value Decomposition (msvd)(Frontiers Media Sa, 2020) Khan, Muhammad Umer; Hasan, Mustafa A. H.Brain-computer interface (BCI) multi-modal fusion has the potential to generate multiple commands in a highly reliable manner by alleviating the drawbacks associated with single modality. In the present work, a hybrid EEG-fNIRS BCI system-achieved through a fusion of concurrently recorded electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals-is used to overcome the limitations of uni-modality and to achieve higher tasks classification. Although the hybrid approach enhances the performance of the system, the improvements are still modest due to the lack of availability of computational approaches to fuse the two modalities. To overcome this, a novel approach is proposed using Multi-resolution singular value decomposition (MSVD) to achieve system- and feature-based fusion. The two approaches based up different features set are compared using the KNN and Tree classifiers. The results obtained through multiple datasets show that the proposed approach can effectively fuse both modalities with improvement in the classification accuracy.Editorial Citation - Scopus: 1Safety and Feasibility of Surgery for Oropharyngeal Cancers During the Sars-Cov(Frontiers Media Sa, 2021) Gorphe, Philippe; Grandbastien, Bruno; Dietz, Andreas; Duvvuri, Umamaheswar; Ferris, Robert L.; Golusinski, Wojciech; Simon, Christian[No Abstract Available]Editorial Editorial: Quality Assurance and Workflow Optimization for the Diagnosis and Treatment of Head and Neck Cancer(Frontiers Media Sa, 2024) Elicin, Olgun; Hosal, Sefik[No Abstract Available]Article Citation - WoS: 4Citation - Scopus: 5Evaluating Efficacy and Outcomes: Comparison of Laser Treatment and Crystallized Phenol in Pilonidal Sinus Disease(Frontiers Media Sa, 2025) Emral, Ahmet Cihangir; Gulen, Merter; Ege, BahadirObjective The aim of this study is to comprehensively evaluate the efficacy of laser ablation and crystallized phenol application in the treatment of pilonidal sinus disease, focusing on treatment success, recurrence rates, complications, and the patients' return to normal life.Material and method Data from patients treated for pilonidal sinus disease with laser ablation and crystallized phenol application at our clinic between January 2020 and September 2023 were retrospectively reviewed. Preoperative data including pit counts, disease stage, preoperative pilonidal abscess history, disease duration (week), treatment success, recurrence/persistent disease, postoperative complications, healing time (days), and visual analogue scale (VAS) scores on postoperative days 1 and 7, as well as return to normal life (days), were analyzed.Results A total of 121 patients were included in the study, with 51 receiving laser ablation and 70 receiving crystallized phenol application. The postoperative outcomes revealed that the wound healing period and postoperative VAS values were statistically significantly better in the laser ablation group.Conclusion Wound healing was faster and postoperative pain was less in the laser group compared to the phenol group. According to this study, both methods can successfully treat the disease in selected cases.Review Citation - WoS: 35Citation - Scopus: 37Bioprinting and biomaterials for dental alveolar tissue regeneration(Frontiers Media Sa, 2023) Ostrovidov, Serge; Ramalingam, Murugan; Bae, Hojae; Orive, Gorka; Fujie, Toshinori; Shi, Xuetao; Kaji, HirokazuThree dimensional (3D) bioprinting is a powerful tool, that was recently applied to tissue engineering. This technique allows the precise deposition of cells encapsulated in supportive bioinks to fabricate complex scaffolds, which are used to repair targeted tissues. Here, we review the recent developments in the application of 3D bioprinting to dental tissue engineering. These tissues, including teeth, periodontal ligament, alveolar bones, and dental pulp, present cell types and mechanical properties with great heterogeneity, which is challenging to reproduce in vitro. After highlighting the different bioprinting methods used in regenerative dentistry, we reviewed the great variety of bioink formulations and their effects on cells, which have been established to support the development of these tissues. We discussed the different advances achieved in the fabrication of each dental tissue to provide an overview of the current state of the methods. We conclude with the remaining challenges and future needs.Editorial Editorial: Biofabricated Materials for Tissue Engineering(Frontiers Media Sa, 2024) Sasmazel, Hilal Turkoglu; Gunduz, Oguzhan; Ramalingam, Murugan; Ulag, Songul[No Abstract Available]
