İstanbul Sağlık ve Teknoloji Üniversitesi Kurumsal Akademik Arşivi
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Güncel Gönderiler
Artificial intelligence in planetary science and astronomy: Applications and research potential
(Euro Planet, 2025) Kacholia, Devanshi; Verma, Nimisha; D’Amore, Mario; Angrisani, Marianna; Frigeri, Alessandro; Schmidt, Frédéric; Carruba, Valerio; Hatipoğlu, Y. Güray; Roos-Serote, Maarten; Smirnov, Evgeny; Vergara Sassarini, Natalia Amanda; Solmaz, Arif; Oszkiewicz, Dagmara; Ivanovski, Stavro
Artificial Intelligence (AI) is one of the most influential fields of the 21st century (Zhang et al., 2021). Rich, E (2019) candidly described it as “the study of how to make computers do things which, at the moment, people do better”, today AI often surpasses human ability in tasks like large scale data mining and pattern recognition - its true strength. AI’s subfields - Machine Learning (ML) and deep learning (DL), play a critical role in expanding the usage to a vast variety of fields like planetary science, astronomy, earth observations, and remote sensing, just to name a few. There is an expected inclination towards incorporating AI more frequently in the studies of planetary science given the vast and complex nature of planetary data. In fact, AI has already been instrumental in extracting meaningful insights and advancing research in both interplanetary and astronomical studies. In planetary sciences, several AI techniques have been employed in order to bridge gaps in our understanding of the varied patterns and occurrences for studying the natural features observable from the data returned by scientific payloads. For example, PCA and cluster analysis can help in detecting patterns of compositional variation from multi and hyper-spectral imagery (Moussaoui et al., 2008; D’Amore & Padovan, 2022). Furthermore, to study specific features and patterns in their occurrences, correlations with neighbouring features; unsupervised algorithms and more complex -supervised techniques can be helpful depending on the scale of the task. From simple methods of unsupervised learning like clustering used to study the spectral signatures of Jezero crater on Mars (Pletl et al., 2023) to applying large language models to track asteroids affected by gravitational effects which alter the asteroid’s orbit (Carruba et al., 2025), such applications highlight the prospects of AI in the field of planetary science. Henceforth, to develop a deeper understanding of the potential and applications of ML, below is a typical AI workflow.
Planetary research: A new diamond open access journal for planetary science
(Euro Planet, 2025) Attree, Nicholas; Crameri, Fabio; Broquet, Adrien; Seignovert, Benoît; Hatipoğlu, Güray; Solmaz, Arif; Wieczorek, Mark
Planetary Research is a new diamond open-access journal for the planetary sciences and is set to be launched in January 2026. Planetary Research will follow an alternative to the traditional model of commercial publishing: the diamond open access model, whereby the journal is run entirely by volunteers using free and open-source software, and owned by the community, through a non-profit association that has been set up in France (The Planetary Research Cooperative). This means that all articles published in Planetary Research will be available for free for both authors and readers, with no access, subscription, or submission processing charges, whilst the journal scope and principles are determined by the community through participation in the online forum and monthly meetings. Further opportunities for participation include open calls for the positions of editor-in chief, editors, associate editors, and members of the media team and technical team, with deadlines on July the 1st, 2025 (see https://planetary-research.org for details).
Europlanet machine learning working group: A year of progress
(Euro Planet, 2025) Ivanovski, Stavro Lambrov; Verma, Nimisha; Hatipoğlu, Güray; Angrisani, Marianna; Solmaz, Arif; Smirnov, Evgeny; Carruba, Valerio; Kacholia, Devanshi; Oszkiewicz, Dagmara; D'Amore, Mario
The rapid advances in machine learning (ML) present unprecedented opportunities for planetary science. We have established a dedicated working group (WG) focused on the application of ML in this field to harness these technological advancements, address complex scientific questions, and enhance our understanding of planetary systems. The Europlanet Machine Learning Working Group held its kick-off meeting during the EPSC 2024 in Berlin, September 2024. The discussion focused on launching the group for exchanging ideas and opportunities with people within and outside of Europlanet’s membership for the first year of its launch. Some of the main goals established were to create a knowledge-sharing platform for members to share their research and invite collaboration, form sub-groups within the WG to expand on current research focus, and foster new collaborative research opportunities within or outside of Europlanet with new funding.
Evaluation of management strategies for viral upper respiratory tract infections among pediatricians in Türkiye
(Taylor & Francis, 2025) Yıldız, İsmail; Gönüllü, Erdem; Uçkun, Utkucan; Kandemir, İbrahim; Soysal, Ahmet; Karaböcüoğlu, Metin
Background: To evaluate how pediatricians manage viral upper respiratory tract infections (URTIs) in children and their tendencies about the viral URTIs approaches. Materials and Methods: This study was conducted among pediatricians who participated in a descriptive cross-sectional survey. The survey included pediatricians who were willing to participate and who completed the survey forms between June 2023 and February 2024. The survey gathered data on the demographic characteristics of the pediatricians, as well as their diagnostic and treatment approaches for viral URTIs. Demographic data included the physicians’ gender, age, academic title, province of duty, institution of practice, and duration of experience in pediatrics. Results: This study involved 203 pediatricians. The diagnosis of viral URTI based on clinical findings had a negative correlation with pediatricians’ work experience (OR: 0.96 per year) and was more common among those working in private settings (OR: 0.38). Use of medications for symptomatic cough treatment was 2.72 times higher among pediatricians in private practice. Herbal supplement use was more common among pediatricians in private practice (p = 0.021) and those with ≥10 years of experience (p = 0.010). Systemic decongestant use was more frequent among pediatricians without an academic title (p = 0.030). Pelargonium sidoides root extract was used more often by pediatricians in private practice (p = 0.003), and they also preferred honey-containing supplements more frequently (p < 0.05). There was a negative correlation between experience in pediatric practice and multivitamins and minerals prescriptions for prevention of viral URTIs (OR: 0.97 for each year). Conclusion: Pediatricians in private settings and with more experience tend not to make a diagnosis of viral URTIs solely based on physical examination. Pediatricians working in private settings focus more on treatments that relieve cough symptoms. A viral URTI diagnostic and treatment algorithm with proven validity will help physicians in clinical diagnosis and treatment.
Effect of slow versus rapid advancement of enteral feeding on intestinal oxygenation in preterm infants
(MDPI Publishing, 2025) Özdemir, Hülya; Kersin, Sinem Gülcan; Can Buker, Halime Sema; Çetinkaya, Merih; Kandemir, İbrahim; Memişoğlu, Aslı; Bilgen, Hülya Selva
Background/Objectives: The optimal rate of enteral feeding advancement in preterm infants remains uncertain despite decades of clinical research. This uncertainty arises from concerns that rapid feeding progression may increase the risk of feeding intolerance and necrotizing enterocolitis (NEC), two major causes of morbidity and mortality in this population. The feeding rate may also influence intestinal oxygenation due to mesen teric hemodynamic changes during feeding. This study aimed to evaluate whether the rate of enteral feeding advancement (slow vs. rapid) affects intestinal oxygenation and its association with feeding intolerance (FI) or necrotizing enterocolitis in very low birth weight preterm infants. Methods: This prospective, randomized, two-center study in cluded infants born at 28–32 weeks of gestation. Group 1 received slow advancement (20 mL/kg/day) and Group 2 rapid advancement (30 mL/kg/day) of enteral feeds. Splanchnic (srSO2) and cerebral (crSO2) oxygenation were monitored daily using the FDA approved INVOS NIRS device during feeding periods (08:00–16:00). Monitoring was per formed during minimal enteral nutrition (Phase 1), advancement phases (Phase 2), and for two days after achieving full enteral feeding (Phase 3). The splanchnic-to-cerebral oxygena tion ratio (SCOR) was also calculated. Percentage changes in srSO2 and SCOR during and after feeding were calculated from baseline (prefeeding) values and analyzed. Results: Sixty infants were enrolled. Mean gestational age and birth weight were 29.76 ± 1.33 weeks and 1375.05 ± 271.19 g, respectively. Group 2 achieved full enteral feeding significantly earlier (p = 0.001), with no other demographic differences between groups. No cases of NEC were observed. Feeding intolerance occurred in 14 infants (23.3%): 8 in Group 1 and 6 in Group 2 (p = 0.192). Both groups exhibited increased srSO2 and SCOR during feeding; however, the between-group differences were not statistically significant (Phase 2 srSO2 and SCOR: p = 0.07, 0.08; Phase 3 srSO2 and SCOR: p = 0.069, 0.071). However, the percentage change from baseline in srSO2 and SCOR during and after feeding was significantly greater in Group 2 during the advancement and full enteral feeding phases (Phase 2 srSO2 and SCOR: p = 0.03, 0.022; Phase 3 srSO2 and SCOR: p = 0.015, 0.048). Infants with feeding intolerance demonstrated significantly lower srSO2 and SCOR values compared to tolerant infants, and this reduction persisted even after reaching full enteral feeding. ROC analysis sug gested gestational age < 30 weeks, birth weight < 1180 g, srSO2 < 52, and SCOR < 0.6 were associated with feeding intolerance. Conclusions: Intermittent bolus feeding increased intestinal oxygenation, with a more pronounced effect in the rapid advancement group. No difference in gastrointestinal adverse outcomes was observed between groups. Lower in testinal oxygenation was associated with feeding intolerance, and the suggested predictive criteria may help guide individualized feeding strategies.
