Coexistence or a related condition: an infant with retinoblastoma and Gaucher disease by Burcu Berberoğlu-Ateş, Ali Varan, Hülya Demir, Canan Akyüz, Aysel Yüce

“… Gaucher disease (GD) is the most prevalant lysosomal lipid storage disease that results from loss of function of acid β-glucosidase due to mutations in the glucocerebrosidase gene. Common features of all types of GD include hepatosplenomegaly, cytopenia, and various patterns of bone and lung involvement. …”
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Living in a Modern City: Digital Practices of Homeless People in St Petersburg by A. S. Chernoivanova

“…The peculiarities of perception are combined into a group of discursive patterns, the practice of using digital technologies – into a group of behavioral patterns. …”
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Acting with the World: Doing without Science by Andrew Pickering

“…To bring out its key features I discuss a form of natural farming developed in Japan by Masanobu Fukuoka, emphasising the way in which Fukuoka’s poetic approach foregrounds the performative back and forth with nature that I call a dance of agency. …”
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Case Report: Coexistence of Rosai-Dorfman disease and B-cell acute lymphoblastic leukemia in an adolescent by Alireza Jenabzadeh, Fariba Binesh, Amir Pasha Amel Shahbaz, Samin Alavi

“…Rosai–Dorfman disease (RDD) is an unusual, non-malignant proliferative disorder involving non-Langerhans cell histiocytes, characterized by a wide range of clinical presentations and distinctive atypical morphological patterns. The concurrent manifestation of acute lymphoblastic leukemia (ALL) alongside RDD is exceptionally rare. …”
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Combinatorial transcriptional regulation establishes subtype-appropriate synaptic properties in auditory neurons by Isle Bastille, Lucy Lee, Cynthia Moncada-Reid, Wei-Ming Yu, Austen Sitko, Andrea Yung, Mina Zamani, Nele Christophersen, Reza Maroofian, Hamid Galehdari, Norbert Babai, Barbara Vona, Tobias Moser, Lisa Goodrich

“…Although transcriptional regulators of neurotransmitter identity are known, it remains unclear how synaptic features are patterned among neuronal subtypes. In the auditory system, glutamatergic synaptic properties vary across three spiral ganglion neuron (SGN) subtypes that collectively encode sound. …”
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Detection and Localization of Stationary Waves on Venus Using a Self‐Supervised Anomaly Detection Model by Husnu Baris Baydargil, Jose Eduardo Oliveira Silva, Yeon Joo Lee, Meeyoung Cha

“…To address this, we propose a self‐supervised anomaly detection model based on a vector‐quantized generative adversarial network to identify and localize stationary atmospheric waves in spacecraft images of Venus. Our model is developed over Akatsuki images of Venus and is trained on smaller cropped images containing features other than stationary waves, allowing it to learn the underlying patterns of normal cloud features. …”
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A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning by Dennis Zanutto, Christos Michalopoulos, Georgios-Alexandros Chatzistefanou, Lydia Vamvakeridou-Lyroudia, Lydia Tsiami, Konstantinos Glynis, Panagiotis Samartzis, Luca Hermes, Fabian Hinder, Jonas Vaquet, Valerie Vaquet, Demetrios Eliades, Marios Polycarpou, Phoebe Koundouri, Barbara Hammer, Dragan Savić

“…The water demand trajectory over a week exhibits complex overlapping patterns and non-linear dependencies to multiple features and time-dependent events that a single model cannot accurately predict. …”
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Visualizing melody with multiple acoustic and tagging values using the visualization module of the Oralstats tool by Adrián Cabedo Nebot

“… This paper presents a way to visualize pitch patterns combiningmacoustic features (F0, intensity or duration) with other variables, like a basic notation on ToBI (Tone and Break Indices) or the projection of acoustic transformations, following MAS (Melodic Analysis of Speech) model. …”
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Methylmap: visualization of modified nucleotides for large cohort sizes by Elise Coopman, Svenn D’Hert, Rosa Rademakers, Wouter De Coster

“…Understanding methylation patterns at the nucleotide level has become pivotal for advancing this field. …”
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Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…This signal contains a number of distinctive waveform patterns that reflect the subject's health state in relation to sleep, neurological disorders, memory functions, and more. …”
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Neuronal adaptation translates stimulus gaps into a population code. by Chun-Wei Yuan, Leila Khouri, Benedikt Grothe, Christian Leibold

“…Neurons in sensory pathways exhibit a vast multitude of adaptation behaviors, which are assumed to aid the encoding of temporal stimulus features and provide the basis for a population code in higher brain areas. …”
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Using the antibody-antigen binding interface to train image-based deep neural networks for antibody-epitope classification. by Daniel R Ripoll, Sidhartha Chaudhury, Anders Wallqvist

“…We hypothesized that Abs recognizing the same part of an antigen share a limited set of features at the binding interface, and that the binding site regions of these Abs share share common structure and physicochemical property patterns that can serve as a "fingerprint" to recognize uncharacterized Abs. …”
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Integrating Palliative Care and Heart Failure: the PalliatHeartSynthesis realist synthesis by Tracey McConnell, Carolyn Blair, Geoff Wong, Claire Duddy, Clare Howie, Loreena Hill, Joanne Reid

“…Consolidation of sources of evidence: when findings from different documents had similarities, a judgement was made as to whether these similarities could adequately form patterns to inform the development of context–mechanism–outcome configurations (CMOcs) and programme theory, or whether there were nuances that required highlighting, and for what purpose. …”
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Investigating bearing and gear vibrations with a Micro-Electro-Mechanical Systems (MEMS) and machine learning approach by Gagandeep Sharma, Tejbir Kaur, Sanjay Kumar Mangal, Amit Kohli

“…Further, an RF model is also developed to classify different types of faults based on features extracted from the acquired vibration data. …”
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The precipitous decline of a gray fox population by Max R. Larreur, Clayton K. Nielsen, Damon B. Lesmeister, Guillaume Bastille-Rousseau

“…We then developed three predictive occupancy models that allowed comparison of gray fox spatial patterns and occupancy estimates over time. …”
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Dependence on ultra-high doses of gabapentinoids: A case series by Arun Bansal, Bhavneesh Saini, Harman Rai, Jaskanwar S. Dhillon, Priyanka Bansal, Sumit Saini

“…Presenting patterns included use for euphoria, self-medication, and anxiety relief. …”
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Emery-Dreifuss muscular dystrophy: anatomical-clinical correlation (case report) by ALZIRA ALVES DE SIQUEIRA CARVALHO, JOSÉ ANTONIO LEVY, PAULO S. GUTIERREZ, SUELY KAZUE NAGAHASHI MARIE, EDUARDO ARGENTINO SOSA, MAURÍCIO SCANAVACA

“…Emery-Dreifuss muscular dystrophy is a rare recessive X-linked muscular disorder where mixed patterns in electromyography and muscle histology (neurogenic and/or myopathic) have caused nosological confusion. …”
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mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process a... by Karthik Sama, Jaya Sreevalsan-Nair, Soumya Choudhary, Srilakshmi Nagendra, Preethi V Reddy, Asher Cohen, Urvakhsh Meherwan Mehta, John Torous

“…In partnership with clinicians for co-designing the app, we explored the feasibility of a comparative visualization tool for discovering patterns across different time stamps for a single patient or any patterns across patients related to the relapse episode. …”
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Topic modeling analysis of the Allen Human Brain Atlas by Letizia Pizzini, Filippo Valle, Matteo Osella, Michele Caselle

“…It is composed of many regions that exhibit specific distributions of cell types and distinct patterns of functional connections. This complexity is rooted in differential transcription. …”
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Year-Round Acoustic Presence of Beaked Whales (Ziphiidae) Far Offshore off Australia’s Northwest Shelf by Evgenii Sidenko, Iain Parnum, Alexander Gavrilov, Robert McCauley, Christine Erbe

“…An automatic detection routine for beaked whale clicks was developed, tested, and run on these recordings. The detection workflow included: (1) the extraction of impulsive signals from passive acoustic recordings based on an auto-regression model, (2) the calculation of a set of features of extracted signals, and (3) binary signal classification based on these features. …”
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