The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms by Hongxia Yan, Yixin Tan, Fan Qiao, Zhuotong Zeng, Yaqian Shi, Xueqin Zhang, Lu Li, Ting Zeng, Yi Zhan, Ruixuan You, Xinglan He, Rong Xiao, Xiangning Qiu

“…The patients were divided into the training cohort and the validation cohort based on the order of their enrollment. Key clinical features were selected using recursive feature elimination (RFE). …”
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The early Miocene flora of Güvem (Central Anatolia, Turkey): a window into early Neogene vegetation and environments in the Eastern Mediterranean by THOMAS DENK, TUNCAY H. GÜNER, ZLATKO KVAČEK, JOHANNES M. BOUCHAL

“…These sclerophyllous trees must have covered vast areas surrounding the wetlands that developed during the early Miocene in the Güvem Basin. …”
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Seasonal to decadal variability and persistence properties of the Euro-Atlantic jet streams characterized by complementary approaches by H. Banderier, H. Banderier, A. Tuel, T. Woollings, O. Martius, O. Martius, O. Martius

“…The weaker and more variable nature of the jets in summer makes it difficult to apply the tools developed to study them in winter, at least not without modifications. …”
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DISCOURSE OF TOLERANCE: FRAME ANALYSIS IN BARACK OBAMA’S SPEECHES by Saulet Alpysbayeva, Valeriy Makhpirov

“…The results of the research further can be used to create programs for semantic prototyping, placing frame markers in automatic mode, and developing language patterns.…”
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Early Detection of Slight Bruises in Yellow Peaches (<i>Amygdalus persica</i>) Using Multispectral Structured-Illumination Reflectance Imaging and an Improved Ostu Method by Jian Wu, Chenlin Liu, Aiguo Ouyang, Bin Li, Nan Chen, Jing Wang, Yande Liu

“…Herein, this study aims to develop a more simple and efficient structured-illumination reflectance imaging system (SIRI) and algorithms for the early nondestructive detection of slight bruises in yellow peaches. …”
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The genome of a sea spider corroborates a shared Hox cluster motif in arthropods with a reduced posterior tagma by Nikolaos Papadopoulos, Siddharth S. Kulkarni, Christian Baranyi, Bastian Fromm, Emily V. W. Setton, Prashant P. Sharma, Andreas Wanninger, Georg Brenneis

“…Sea spiders (Pycnogonida) represent the uncontested marine sister group of all other chelicerates, featuring a—likely plesiomorphic—indirect development. …”
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Spectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning by Paul A. Constable, Javier O. Pinzon-Arenas, Luis Roberto Mercado Diaz, Irene O. Lee, Fernando Marmolejo-Ramos, Lynne Loh, Aleksei Zhdanov, Mikhail Kulyabin, Marek Brabec, David H. Skuse, Dorothy A. Thompson, Hugo Posada-Quintero

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Complex immunohistochemical and molecular study on 5 cases of ovarian juvenile granulosa cell tumors reveals a consistent alteration in the PI3K/AKT/mTOR signaling pathway by Adam Šafanda, Nikola Hájková, Michaela Kendall Bártů, Marián Švajdler, Radoslav Matěj, Jitka Hausnerová, Tomáš Zima, Pavel Dundr, Kristýna Němejcová

“…Abstract Background Juvenile granulosa cell tumor (JGCT) of the ovary is a rare tumor with distinct clinicopathological and hormonal features primarily affecting young women and children. …”
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ECG-LM: Understanding Electrocardiogram with a Large Language Model by Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, Mu Qiao, Zaiqing Nie

“…The model employs a specialized ECG encoder that transforms raw ECG signals into a high-dimensional feature space, which is then aligned with the textual feature space derived from the large language model. …”
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Clinical manifestations, histopathological changes and quality of life in patients with advanced knee osteoarthritis caused by age, trauma, obesity and their combination by Kristina V. Korochina, Tatyana V. Chernysheva, Irina E. Korochina

“…The methodological basis for differential approach to treating different categories of OA patients was developed.…”
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Osteoporosis: a problem still faulty addressed by the Romanian healthcare system. Results of a questionnaire survey of people aged 40 years and over by Narcisa Jianu, Narcisa Jianu, Narcisa Jianu, Valentina Oana Buda, Valentina Oana Buda, Denisa Căpățână, Călin Muntean, Teodor Nicolae Onea, Maria Anastasia Jivulescu, Ana Teodor, Ana Teodor, Mirabela Romanescu, Mirabela Romanescu, Lucreția Udrescu, Lucreția Udrescu, Vlad Groza, Mihai Udrescu, Alina Ramona Buzatu, Cristina Adriana Dehelean, Cristina Adriana Dehelean, Minodora Andor, Minodora Andor

“…The network’s clustering revealed six relevant communities, which are not correlated with questionnaire results but reflect the patterns of feature associations.ConclusionPreventive and therapeutic osteoporosis education programs are urgently needed in the Romanian population to decrease disability and high mortality risks and thus, to improve the quality of life.…”
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Vestibular Atelectasis: A Narrative Review and Our Experience by Andrea Tozzi, Andrea Castellucci, Salvatore Martellucci, Pasquale Malara, Michael Eliezer, Giuseppe Ferrulli, Rosanna Rita Ruberto, Pasquale Brizzi, Enrico Armato, Alessio Marchetti, Daniele Marchioni, Angelo Ghidini, Claudio Moratti

“…A collapse of the membranous labyrinth involving the semicircular canals (SCs) and the utricle represents its distinctive histopathological feature. While specific radiological patterns consistent with VA have been described on contrast-enhanced MRI with delayed acquisitions, an impairment of the blood–labyrinthine barrier (BLB) could be detected in several disorders leading to vestibular loss. …”
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Machine learning helps reveal key factors affecting tire wear particulate matter emissions by Zhenyu Jia, Jiawei Yin, Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei, Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao

“…Model explainability results show that the feature parameters-emission response relationships for tire wear PM2.5 and PM2.5-10 are different. …”
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Identification of veterinary and medically important blood parasites using contrastive loss-based self-supervised learning by Supasuta Busayakanon, Morakot Kaewthamasorn, Natchapon Pinetsuksai, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang, Veerayuth Kittichai

“…Among the SSL models, ResNet50 consistently achieved high accuracy, reaching 0.992 in most classes, which aligns well with the patterns observed in the pre-trained uniform manifold approximation and projection representations. …”
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ANALYZING MUSIC IN TV SHOWS: SOME METHODOLOGICAL CONSIDERATIONS / АНАЛИЗ МУЗЫКИ В ТЕЛЕВИЗИОННЫХ СЕРИАЛАХ: НЕКОТОРЫЕ МЕТОДОЛОГИЧЕСКИЕ СООБРАЖЕНИЯ... by PIOTROWSKA ANNA G. / ПИОТРОВСКА АННА

“…The first approach is of normative character and involves gauging the length of musical fragments versus the length of the episode, measuring how often and determining where musical fragments appear, checking the patterns of their distribution with the episode, etc. …”
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INTENSIFIERS IN ITALIAN IN TRANSIT: TRACING BIOGRAPHICAL EXPERIENCES THROUGH LANGUAGE PRACTICES by Marta Lupica Spagnolo

“…IiT partly shares this feature with Italian youth varieties, colloquial French, and some Italian-based contact varieties developed outside Italy. …”
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From LIKE/LOVE to habitual: the case of Mainland East and Southeast Asian languages by Fang Hongmei

“…The common human experience that if one likes/loves doing something, one tends to do it frequently renders it highly unlikely that this grammaticalization pattern is an areal feature confined to Mainland East and Southeast Asia.…”
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Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study by Na Feng, Shanshan Zhao, Kai Wang, Peizhe Chen, Yunpeng Wang, Yuan Gao, Zhengping Wang, Yidan Lu, Chen Chen, Jincao Yao, Zhikai Lei, Dong Xu

“…Results: TNT-Net achieved an area under the curve (AUC) of 0.953 (95 % confidence interval (CI): 0.934, 0.969) on the internal test set and 0.941 (95 % CI: 0.921, 0.957) on the external test set, significantly outperforming traditional deep convolutional neural network models and single-channel swin transformer model, whose AUCs ranged from 0.800 (95 % CI: 0.759, 0.837) to 0.856 (95 % CI: 0.819, 0.881). Furthermore, feature heatmap visualization showed that TNT-Net could extract richer and more energetic malignant nodule patterns. …”
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Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning by Kuat Abzaliyev, Madina Suleimenova, Siming Chen, Madina Mansurova, Symbat Abzaliyeva, Ainur Manapova, Almagul Kurmanova, Akbota Bugibayeva, Diana Sundetova, Raushan Bitemirova, Nazipa Baizhigitova, Merey Abdykassymova, Ulzhas Sagalbayeva

“…In addition, we applied k-means clustering to identify hidden patterns and risk profiles within the dataset. A Random Forest classifier was trained to distinguish between high-risk and low-risk individuals using the same feature set. …”
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Cardiometabolic index predicts cardiovascular events in aging population: a machine learning-based risk prediction framework from a large-scale longitudinal study by Yuanxi Luo, Yuanxi Luo, Zhiyang Yin, Xin Li, Xin Li, Chong Sheng, Ping Zhang, Dongjin Wang, Dongjin Wang, Yunxing Xue

“…Sex-stratified analyses suggested differential predictive patterns between gender subgroups. Given CMI’s robust and consistent predictive capability for stroke outcomes, we developed a machine learning-derived nomogram incorporating five key predictors: age, CMI, hypertension status, high-sensitivity C-reactive protein (hsCRP) and renal function (measured as serum creatinine). …”
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