Innovations in Gastric Cancer Surgery During Early Minimally Invasive Era and Future Perspectives
With continuing revelations in tumor biology and the emergence of artificial intelligence, new horizons for surgical innovation are opening. At the center of this transformative journey stands the innovative surgeon, driven by passion, guided by data, and steadfast in the commitment to patient safety and quality of life.
Reut El‐On, Young‐Woo Kim
wiley +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
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Çanakkale şehitleri anısına 18 Mart 1915 [PDF]
Bu katalogdaki fotoğraflar “Çanakkale 1915 Dergisi” arşivinden ...
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Türkiye Cumhuriyeti Matbûât ve İstihbârât Müdüriyet-i Umûmiyesi Künye Albümü 1924-1927
Türkiye Cumhuriyeti Matbûât ve İstihbârât Müdüriyet-i Umûmiyesi Künye Albümü 1924-1927 başlıklı eser, Muhammet Ünal Arvas, Serkan Erdal ve Büşra K.
Burcu Aydemir Şenay
doaj +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
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A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
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Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
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Basın özgürlüğünü tehdit eden unsurların ekonomik, hukuki ve uluslararası boyutunun incelenmesi ve çözüm önerileri [PDF]
Basın Ekonomisi ve İşletmeciliği Kitle reklamcılığı medya dünyasının en önemli gelir kaynaklarından birisini oluştururken, aynı zamanda medya araçlarının çoğunu devleşmeye, tekelleşmeye, sosyal açıdan yetersiz ve içeriği olmayan konulara yönelten ve yeni
Kadılar, Rıza
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Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
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Eskişehir'deki yerel basın kuruluşlarının ve çalışanlarının sosyal medya kullanımları üzerine bir saha araştırmas [PDF]
Gelişen yeni iletişim teknolojileri doğrultusunda gazetecilik sektörünün de bir değişim ve dönüşüm içerisine girdiği gözlemlenmektedir. Basın yayın alanının, bilgiye ulaşma ve aktarma süreçlerinde farklılaşmalar olduğu, gelişen teknoloji ile çoğu ...
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