Exploring Inhibitory Control Processes in Highly Superior Autobiographical Memory (HSAM): A Single Case Study by Jessica Talbot, Daniele Gatti, Marta Boccalari, Michela Marchetti, Danilo Mitaritonna, Gianmarco Convertino, Mara Stockner, Giuliana Mazzoni

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Association of high complement and low immunoglobulins with the clinical symptoms of patients with fibromyalgia by Satoshi Izuno, Masako Hosoi, Kozo Anno, Takahiro A. Kato, Nobuyuki Sudo, Kazufumi Yoshihara

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A Cross-Modal Tactile Reproduction Utilizing Tactile and Visual Information Generated by Conditional Generative Adversarial Networks by Koki Hatori, Takashi Morikura, Akira Funahashi, Kenjiro Takemura

“…Utilizing the collected tactile information, used as labels, and images as a dataset, we developed four types of visual information generation models using CGAN, each trained with weighted concatenated data of images and labels, in which image elements are amplified by factors of 1, 1,000, 5,000, and 10,000, respectively. …”
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mRNA-lncRNA gene expression signature in HPV-associated neoplasia and cervical cancer by E. D. Kulaeva, E. S. Muzlaeva, E. V. Mashkina

“…Validation on an independent microarray dataset showed that the differential expression patterns of the CDKN2A and SLC27A6 genes were conserved in the respective gene expression comparisons between groups.…”
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Decoding cyanide toxicity: Integrating Quantitative Structure-Toxicity Relationships (QSTR) with species sensitivity distributions and q-RASTR modeling by Kabiruddin Khan, Ramin Abdullayev, Gopala Krishna Jillella, Varun Gopalakrishnan Nair, Mahmoud Bousily, Supratik Kar, Agnieszka Gajewicz-Skretna

“…These models were validated using external datasets, achieving high accuracy. Key descriptors such as refractivity, water solubility, and lipophilic components significantly influence cyanide toxicity. …”
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Evaluation of a pragmatic approach to predicting COVID-19-positive hospital bed occupancy by Azeem Majeed, Thomas Woodcock, Paul Aylin, Julian Redhead, Derryn Lovett, Jacques Naude

“…Evaluation data covered individuals registered with a general practitioner in North West London, through the Whole Systems Integrated Care deidentified dataset. We extracted data on COVID-19-positive tests, vaccination records and admissions to hospitals with confirmed COVID-19 within the study period. …”
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Wide-Field Megahertz OCT Imaging of Patients with Diabetic Retinopathy by Lukas Reznicek, Jan P. Kolb, Thomas Klein, Kathrin J. Mohler, Wolfgang Wieser, Robert Huber, Marcus Kernt, Josef Märtz, Aljoscha S. Neubauer

“…Acquisition time was 1.8 seconds. Obtained volume datasets consisted of 2088 × 1044 A-scans of 60° of view. …”
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Data Augmentation and Machine Learning algorithms for multi-class imbalanced morphometrics data of stingless bees by Daisy Salifu, Lorna Chepkemoi, Eric Ali Ibrahim, Kiatoko Nkoba, Henri E.Z. Tonnang

“…We studied ML classifier models: RF, RF + SMOTE, RF + ADASYN, SVM, SVM + SMOTE and SVM + ADASYN on the six-class imbalanced dataset of stingless bees morphometrics. Multi-class area under curve (AUC), F1-score, G-mean, balanced accuracy, sensitivity and “No information rate” were used to assess model performance. …”
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Exploring the Predictive Role of 11‐Oxyandrogens in Diagnosing Polycystic Ovary Syndrome by Armaiti Parvez Mody, Maya Beth Lodish, Richard Joseph Auchus, Adina F. Turcu, Fei Jiang, Heather Gibson Huddleston

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Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data by Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

“…Traditional methods of tool monitoring are insufficient for real-time and complex machining environments, prompting the integration of automated machine learning models. A robust dataset was collected from a CNC hobbing machine, capturing vibration signals under healthy and faulty tool conditions. …”
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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

“…This study explores modeling using regularization techniques such as ridge regression, LASSO, elastic net, classification tree, tree ensemble models like random forest or XGBoost, and neural networks to predict CsPCa in a dataset of 4799 patients in Catalonia (Spain). An 80–20% split was employed for training and validation. …”
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Spatiotemporal characteristics and determinants of urban expansion in China: perspective of urban agglomerations by Ming Li, Yongwang Cao, Yongwang Cao, Jianxin Song, Huining Li, Mengyin Liang

“…Urban expansion is a research hotspot, while previous studies have rarely compared the characters and determinants of urban expansion within and outside UAs.MethodsConsidering the case of China, based on the China Land Use/Cover Dataset (CLUD), this study use spatial statistics analysis and Theil index to compare the spatiotemporal characteristics of urban expansion within and outside UAs during 1990–2020. …”
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Quantification of Microvascular Density of the Optic Nerve Head in Diabetic Retinopathy Using Optical Coherence Tomographic Angiography by Jianfeng Huang, Bodi Zheng, Yingyi Lu, Xiaoya Gu, Hong Dai, Tong Chen

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Serum vascular endothelial growth factor levels as a marker of skin thickening, digital ischemia, and interstitial lung disease in systemic sclerosis by Chinnadurai Saranya, Ramamoorthy Ramesh, Mahendran Bhuvanesh, Chilukuri Balaji, Selvakumar Balameena, Sankaralingam Rajeswari

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A Child as a Donor for Hematopoietic Stem Cell Transplantation: Bioethical Justification—A Case Study on Sickle Cell Disease by Andrea Z. Pereira, Ricardo Hellman, Nelson Hamerschlak, Andrea Kondo, Polianna Mara Rodrigues de Souza, Wilson Leite Pedreira, Luiz Fernando Alves Lima Mantovani, Eduardo Juan Troster, Henrique Grunspun, Marco Aurélio Scarpinella Bueno

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Exogenous plasmid capture to characterize tetracycline-resistance plasmids in sprouts obtained from retail in Germany by Maria Stein, Erik Brinks, Diana Habermann, Gyu-Sung Cho, Charles M. A. P. Franz

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Explainable machine learning models for identifying mild cognitive impairment in older patients with chronic pain by Xiaoang Zhang, Yuping Liao, Daying Zhang, Weichen Liu, Zhijian Wang, Yaxin Jin, Shushu Chen, Jianmei Wei

“…Data collected included patients’ general information, cognitive function, pain level, depression, and sleep quality. The dataset was randomly divided into training set and testing set, and processed by Min-Max Normalization and SMOTETomek comprehensive sampling. …”
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Tumor resting-state fMRI connectivity to extralesional brain is associated with cognitive performance in glioma patients by Chuh-Hyoun Na, Hans Clusmann, Martin Wiesmann, Kerstin Jütten, Verena Mainz

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Isolated Vitamin D Deficiency Is Not Associated with Nonthyroidal Illness Syndrome, but with Thyroid Autoimmunity by Muyesser Sayki Arslan, Oya Topaloglu, Bekir Ucan, Melia Karakose, Basak Karbek, Esra Tutal, Mustafa Caliskan, Zeynep Ginis, Erman Cakal, Mustafa Sahin, Mustafa Ozbek, Tuncay Delibasi

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Age, Body Mass Index, and Waist-to-Hip Ratio Related Changes in Insulin Secretion  and  Insulin Sensitivity in Women  with Polycystic Ovary Syndrome: Minimal Model Analyses by Mirjana Šumarac-Dumanović, Danica Stamenković-Pejković, Danka Jeremić, Janko Dumanović, Vesna Mandić-Marković, Miloš Žarković, Dragan Micić

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