A probabilistic approach for building disease phenotypes across electronic health records by David Vidmar, Jessica De Freitas, Will Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen

“…In this paper, we develop multiple heuristic “labeling functions’’ (LFs) for 4 diseases across de-identified EHR data and aggregate their votes through a majority vote approach (MV), a popular open-source approach (Snorkel OSS), and our proposed probabilistic approach (LEVI). …”
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Classification analysis of modern bioreactor systems (review). Part 1. Classification of bioreactors by design parameters by A. A. Dosaev, R. R. Safarov, N. V. Menshutina

“…Due to the active use of bioreactors, in order to optimize production processes and reduce operating costs, new highly efficient automated devices with a variety of functions are being developed using modern automation technologies, artificial intelligence and 3-D printing. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…On 22 benchmark datasets, DeepMol obtained competitive pipelines compared with those requiring time-consuming feature engineering, model design and selection processes. As one of the first AutoML tools specifically developed for the computational chemistry domain, DeepMol stands out with its open-source code, in-depth tutorials, detailed documentation, and examples of real-world applications, all available at https://github.com/BioSystemsUM/DeepMol and https://deepmol.readthedocs.io/en/latest/ . …”
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Biochemical, nutritional, and nutraceutical properties of cactus pear accessions by Yazgan Tunç, Mehmet Yaman, Kadir Uğurtan Yılmaz, Ali Khadivi, Daya Shankar Mishra

“…These findings contribute valuable insights for the conservation and utilization of wild cactus pear genetic resources, supporting the development of functional food products and sustainable cultivation strategies in Mediterranean climates.…”
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Extraction and characterization of humic acid from low-rank coal mined reserves in South Sumatra and its application on red chili (Capsicum annuum L.) in fertilizer exhausted soil by Mega Kartika Hermawan, Emma Trinurani Sofyan, Rija Sudirja, Anne Nurbaity

“…Laboratory-scale characterization revealed that locally sourced HA shares many functional groups with commercial leonardite-based HA. …”
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Screening of anomalies in a double-stranded DNA via global electrical measurements by Sourav Kundu

“…We conduct two-terminal charge transport calculations to detect biological defects in three types of DNA sequences: periodic, quasi-periodic and random. …”
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Evaluation of Cloud Masking Methods using Sentinel-2 Satellite Images on Google Earth Engine: A Case Study in Vietnam by Le Minh Hang, Bui Xuan Hung, Nguyen Thi Thu Nga, Mai Phuong Pham, Nguyen Quoc Khanh

“…These include the Fmask (Function of mask) method, the Fmask CDI (Cloud Displacement Index) method, and the Fmask CSP (Cloud Score Plus) method. …”
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A Dataset for Investigations of Amine-Impregnated Solid Adsorbent for Direct Air Capture by Eryu Wang, Liping Luo, Jiachuan Wang, Jiaxin Dai, Shuangyin Li, Lei Chen, Jia Li

“…Existing literature serves as a valuable source for the investigation of amine-functionalized solid adsorbents. …”
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Modular assembly of self-healing flexible thermoelectric devices with integrated cooling and heating capabilities by Xiaolong Sun, Yue Hou, Zheng Zhu, Bo Zhu, Qianfeng Ding, Wenjie Zhou, Sijia Yan, Zhanglong Xia, Yong Liu, Youmin Hou, Yuan Yu, Ziyu Wang

“…Yet, current devices lack functional module expansion, which limits the customization for diverse energy-harvesting heat sources and complicates their assembly to meet the specific power requirements of electrical appliances. …”
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Nonlinear Damping as the Fourth Dimension in Optical Fiber Anemometry by Jeremiah C. Williams, Hengky Chandrahalim

“…This setup permits precise measurement of gaseous fluid flow with minimal sensor footprint at the point of detection and accommodates a variety of optical sources and measurement apparatuses without the need for specific wavelength or broad‐spectrum capabilities. …”
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Perovskite spin light-emitting diodes with simultaneously high electroluminescence dissymmetry and high external quantum efficiency by Shuai He, Weixi Lin, De Yu, Junwei Shi, Zhen Yin, Changjiu Sun, Haoliang Liu, Chen Zhang, Jianyu Yuan, Sai Bai, Shumin Xiao, Guankui Long, Mingjian Yuan, Yuanzhi Jiang, Yimu Chen, Qinghai Song

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Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis by Amane Sugii, Yoshihiro Hiramatsu, Takahiko Uchide, Kazutoshi Imanishi

“…The trained CNN model achieved high accuracy, with both precision and recall exceeding 97%, and correctly detected 96% of distant earthquakes. The probability of tectonic tremor as a function of the signal-to-noise ratio (SNR) increased steeply from 10 to 90% at an SNR of 4. …”
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Length–Weight Distribution of Non-Zero Elements in Randomized Bit Sequences by Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Olaf Grote

“…The focus of the current work is on detecting deviations from the ideal gap-density function describing randomized bit sequences. …”
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Semi-Automated Dataset Generation for Residential Buildings Using Graph-Based Topological Modelling by Angelo Massafra, Dania H. Al-Harasis, Lorenzo Stefanini, Wassim Jabi

“…The resulting dataset facilitates the analysis of floor spatial configurations and the extraction of geometric attributes, laying the foundation for future analyses that will integrate machine learning techniques for functional detection and typological clustering.…”
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Features of the alpha-cell population organization in pancreas of spontaneously hypertensive rats (SHR) by T. V. Abramova, Yu. M. Kolesnyk

“…At the same time, glucagon-suppressive therapy is defined as the strategically main source of success of therapy for patients with type 2 diabetes mellitus. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…This estimation makes it possible to determine whether the network makes decisions as expected (decision-making is related to the model’s observation of objects belonging to different semantic classes in the environment) and to detect unexpected, seemingly chaotic behavior that might be, for example, the result of data bias, bad design of the reward function or insufficient generalization abilities of the model. …”
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Postpartum Methicillin-Resistant Staphylococcus aureus Toxic Shock Syndrome Caused by a Perineal Infection by Yoko Deguchi, Yuko Horiuchi, Kensaku Shojima, Naoyuki Iwahashi, Miwa Ikejima, Kazuhiko Ino, Kenichi Furukawa

“…Furthermore, since MRSA was not detected in the nasal and vaginal cavity during pregnancy, it suggests that vaginal colonization can also occur postpartum and be the disease source in mothers. …”
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EVL Promotes Osteo-/Odontogenic Differentiation of Dental Pulp Stem Cells via Activating JNK Signaling Pathway by Kangrui Zeng, Qiongyi Kang, Yutong Li, Weiping Li, Qing Cheng, Wenwei Xia

“…Human dental pulp stem cells (hDPSCs) were recognized as a suitable and promising source of stem cells in dental pulp regeneration. …”
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Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo Study by Elham Rohollahpour, Hadi Taleshi Ahangari

“…Subjects and Methods: The proton pencil beam source was defined as a function of the tumor size to encompass the tumor volume. …”
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The Influence of Working in Stone Crushing Factories on Specific Respiratory Parameters by Belal Rahhal, Raya Sinnokrot, Omar Abuzant, Samah Shahin, Amany Masalmeh, Wala Jarrar

“…Working in stone-cutting factories is a known source for silica dust exposure, which has pathogenic effects on the respiratory system resulting finally in silicosis which may end in malignancy. …”
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