Genetic classification and geochemical evaluation of Upper Cretaceous carbonate reservoir oils in Dezful Embayment and Abadan Plain, SW Iran by Hossein Saadati, Ali Kadkhodaie, Mehrab Rashidi, Hossein Bahrami, Hashem Sarafdokht, Dmitriy A. Martyushev, Amir Abbass Jahangard

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Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration by Gábor G. Deák, Klaudia Birner, Bianca S. Gerendas, Georgios Mylonas, Günther Weigert, Martin Michl, Irene Steiner, Ursula M. Schmidt-Erfurth

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Classification of peripheral vitreoretinal interface lesions using spectral-domain optical coherence tomography with guidance of ultrawide field imaging by Weiwei Zheng, Ying Huang, Ying Huang, Shanshan Qian, Bing Lin, Bing Lin, Shenghai Huang, Shenghai Huang

“…In the OCT classification of VRI lesions, 18 (17.1%) cases were category A, 28 (26.7%) cases were category B1, 30 (28.6%) cases were category B2, and 29 (27.6%) cases were category C. …”
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Prevalence of angle’s classification of malocclusion among patients Attending Orthodontic Department in College of Dentistry‐ retrospective cross‐sectional study by Blend Hussein Mohammad, Mahmood Fawzi Abdul‐Jabbar, Mansour Hadi Mohammed

“…Methods: A total of 110 case sheets were collected from orthodontic clinic, patients that have asymmetric angle`s molar classification, any local or systemic problems, or undergone any orthodontic treatment before, were excluded, so, a sample size of 87 patients were taken (41 male and 46 female), with ages ranging from 6 to 25, after coding case sheets, data were inputting in an excel sheet of Microsoft Office and analyzed by chi‐square test. …”
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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

“…Specifically, it achieves 98.83% accuracy, 98.56% precision, and 98.65% F-Measure on the TON-IoT dataset, and 98.6% accuracy, 98.5% precision, and 98.94% F-Measure on the BOT-IoT dataset, showcasing its superior performance over existing IDS models. …”
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Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals by Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P

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Return to sports activities following posterior scoliosis correction and instrumented fusion for adolescent idiopathic scoliosis and its correlation to Lenke classification by Tahir Khaleeq, Ibrahim Jaly, Matthew Lea, Devi Prakash Tokala, Neil Davidson, Jayesh Trivedi, Sudarshan Munigangaiah

“…For comparison, Lenke classification was divided into Subgroup 1 (Lenke type 1 and 2), Subgroup 2 (Lenke type 3 and 4), and Subgroup 3 (Lenke type 5 and 6). …”
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Breast cancers with neuroendocrine differentiation: Retrospective case studies series from a single institution based on the 2019 WHO classification by Youngkyung Jeon, Ji-Yeon Kim, Jin Seok Ahn, Young-Hyuck Im, Kyuehee Choi, Sun Young Jeong, Yeji Jung, Jaeyeon Jang, Dae-Ho Choi, Joohyun Hong, Hyo Jung Kim, Soo Youn Cho, Yeon Hee Park

“…The median disease-free and overall survival were 14.2 months and 23.6 months, respectively. Patients with NET or IBCNST with NED (n = 6) had an overall favorable outcome, with no deaths, with only one case of disease recurrence. …”
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Enhanced Brain Tumor MRI Classification Using Stationary Wavelet Transform, ResNet50V2, and LSTM Networks by Oussama Abda, Hilal NAIMI

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Investigating root and canal morphology of anterior and premolar teeth using CBCT with a novel coding classification system in Saudi subpopulation by Mohammed Mustafa, Mohmed Isaqali Karobari, Ali Abdullah Alwan Al-Maqtari, Abdulaziz Abdulwahed, Ahmed A. Almokhatieb, Laila S. Almufleh, Qamar Hashem, Abdullah Alsakaker, Mohammad Khursheed Alam, Hany Mohamed Aly Ahmed

“…Demographic data including gender (male and female) and age (divided into 6 groups—10–20, > 20–30, > 30–40, > 40–50, > 50–60, > 60–70) were recorded. …”
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Divisive Refinement of Metal Fiber at the PM0.1 Classification Stage for PM0.5–0.1 Sampling with Nanosampler by Yuta Kurotsuchi, Kazuhiko Sekiguchi, Yohei Hayakawa

“…Abstract Multi-component analysis of PM0.5–0.1 collected by Nanosampler II metal (Steel Use Stainless: SUS) wool fiber at the PM0.1 classification stage is challenging owing to difficulties in SUS wool fiber separation after collection. …”
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Novel method for classification of prion diseases by detecting PrPres signal patterns from formalin-fixed paraffin-embedded samples by Sachiko Koyama, Kaoru Yagita, Hideomi Hamasaki, Hideko Noguchi, Masahiro Shijo, Kosuke Matsuzono, Kei-Ichiro Takase, Keita Kai, Shin-Ichi Aishima, Kyoko Itoh, Toshiharu Ninomiya, Naokazu Sasagasako, Hiroyuki Honda

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Pan-cancer characterization of m6A-mediated regulation of T cell exhaustion dynamics and clinical relevancies in human cancers by Weiping Ji, Ye Fang, Liwei Chen, Yitong Zheng, Yifei Pei, Changqiu Mei, Meng Zhou

“…T cell exhaustion (TEX) is a major barrier to effective immunotherapy. The role of N6-methyladenosine (m6A) modification in regulating immune cell function has been recognized, but its impact on TEX dynamics across cancer types and clinical outcomes remains unclear. …”
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Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

“…The best hyperparameter combination obtained is a warm-up step of 70, early stopping patience of 15, weight decay of 0.01, NER loss weight of 0.6, and intent classification loss weight of 0.4. …”
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A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning by E. Sreehari, L. D. Dhinesh Babu

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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

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MRI findings in patients with psychogenic non‐epileptic seizures: Prevalence, distribution, and classification of the findings. A single tertiary epilepsy center experience by Aleix Jareno‐Badenas, Mario Matute‐González, Luis Pintor, Estefanía Conde‐Blanco, Mar Carreño, Xavier Setoain, Camilo Pineda, Fernando Diego Choque‐Chávez, Tomás Fernández, Núria Bargalló, Sofía González‐Ortiz

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Symptoms indicative of early knee osteoarthritis after ACL reconstruction: descriptive analysis of the SHIELD cohort by Anna Cronström, May Arna Risberg, Martin Englund, Dorthe B. Strauss, Paul Neuman, Carl Johan Tiderius, Eva Ageberg

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Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers by Philip Zehnder, Jeffrey Feng, Trung Nguyen, Philip Shen, Ruth Sullivan, Reina N. Fuji, Fangyao Hu

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Evaluation of the significance of tumor stromal patterns and peri-tumoral inflammation in head and neck squamous cell carcinoma with special reference to the Yamamoto–Kohama classi... by Geet Bhuyan, Prabir Hazarika, Anju M. Rabha

“…However, one (3.7%) case of moderately differentiated SCC and two (28.6%) cases of poorly differentiated SCC showed signs of immature SR. …”
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