Remote symptom monitoring with patient-reported outcomes and nudges during lung cancer immunotherapy in China (PRO-NET): protocol for a randomised controlled trial by Ping He, Yanan Luo, Zhenyu Shi, Yiqi Xia, Xiaolong Guan

“…Routinely collection of patient-reported outcomes (PROs) followed by automated alerts has been shown to improve overall survival and HRQoL for cancers. …”
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 Increasing the resolution of malaria early warning systems for use by local health actors by Michelle V. Evans, Felana A. Ihantamalala, Mauricianot Randriamihaja, Vincent Herbreteau, Christophe Révillion, Thibault Catry, Eric Delaitre, Matthew H. Bonds, Benjamin Roche, Ezra Mitsinjoniala, Fiainamirindra A. Ralaivavikoa, Bénédicte Razafinjato, Oméga Raobela, Andres Garchitorena

“…The model was then integrated into an automated workflow with environmental data updated monthly to create a continuously updating MEWS capable of predicting malaria cases up to three months in advance at the village-level. …”
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Adaptive Neuro-Fuzzy Inference System guided objective function parameter optimization for inverse treatment planning by Eduardo Cisternas Jiménez, Fang-Fang Yin, Fang-Fang Yin, Fang-Fang Yin

“…The goal is to achieve a dose distribution that adheres to a prescribed plan tailored to each patient. Developing an automated approach to optimize patient-specific prescriptions is valuable in scenarios where trade-off selection is uncertain and varies among patients. …”
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Hospital pharmacy implementation of a unit dose dispensing system: A qualitative interview study to determine experiences, views and attitudes of nursing staff by Theodora Steindl-Schönhuber, Theresa Drechsel, Gunda Gittler, Anita Elaine Weidmann

“…Background: Evolving automated technologies in the dispensing process promise effective solution to reduce medication error rates. …”
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The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

“…The goal is to develop a method for synthesizing a neural network controller for control systems that guarantees the closed-loop system stability through automated selection of Lyapunov function with the involvement of an additional neural network trained on the data obtained in the solving process the integer linear programming problem. …”
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Configurable Multi-Layer Perceptron-Based Soft Sensors on Embedded Field Programmable Gate Arrays: Targeting Diverse Deployment Goals in Fluid Flow Estimation by Tianheng Ling, Chao Qian, Theodor Mario Klann, Julian Hoever, Lukas Einhaus, Gregor Schiele

“…The workflow incorporates a custom-developed, open-source toolchain <i>ElasticAI.Creator</i> that facilitates quantization-aware training, integer-only inference, automated accelerator generation using VHDL templates, and synthesis alongside performance estimation. …”
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A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

“…However, the distinctive visual characteristics of Brazilian coins, including variations in size, color, and design, pose significant challenges for automated classification. Most of the existing currency recognition systems are based on the physical properties of the currencies, such as length, breadth, and mass. …”
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Contagious acquisition of antimicrobial resistance is critical for explaining emergence in western Canadian feedlots—insights from an agent-based modelling tool by Dana Ramsay, Wade McDonald, Michelle Thompson, Nathan Erickson, Sheryl Gow, Nathaniel D. Osgood, Cheryl Waldner

“…Hypotheses about how AMR emerges in the feedlot environment were represented by model configurations in which detectable AMR was impacted by (1) only selection arising from AMU; (2) only transmission between animals in the same pen; and (3) both AMU-linked selection and transmission. Automated calibration experiments were used to estimate unknown parameters of interest for select antimicrobial classes. …”
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Chronic lung lesions in COVID-19 survivors: predictive clinical model by Paulo A Lotufo, Juliana C Ferreira, Eloisa Bonfa, Anna S Levin, Rodrigo Caruso Chate, Marta Imamura, Esper G Kallas, Roger Chammas, Thais Mauad, Izabel Marcilio, Nelson Gouveia, Ricardo Nitrini, José Eduardo Krieger, Marcio Valente Yamada Sawamura, Michelle Louvaes Garcia, Cristiano Gomes, Guilherme Fonseca, Jorge Hallak, Luis Yu, Marcio Mancini, Maria Elizabeth Rossi, Thiago Avelino-Silva, Edivaldo M Utiyama, Aluisio C Segurado, Beatriz Perondi, Anna Miethke-Morais, Amanda C Montal, Leila Harima, Marjorie F Silva, Marcelo C Rocha, Maria Amélia de Jesus, Carolina Carmo, Clarice Tanaka, Julio F M Marchini, Thaís Guimarães, Ester Sabino, Carlos Roberto Ribeiro Carvalho, Celina Almeida Lamas, Diego Armando Cardona Cardenas, Daniel Mario Lima, Paula Gobi Scudeller, João Marcos Salge, Cesar Higa Nomura, Marco Antonio Gutierrez, Adriana L Araújo, Bruno F Guedes, Carolina S Lázari, Cassiano C Antonio, Claudia C Leite, Emmanuel A Burdmann, Euripedes C Miguel, Fabio R Pinna, Fabiane Y O Kawano, Geraldo F Busatto, Giovanni G Cerri, Heraldo P Souza, Izabel C Rios, Larissa S Oliveira, Linamara R Batisttella, Luiz Henrique M Castro, Marcello M C Magri, Maria Cassia J M Corrêa, Maria Cristina P B Francisco, Maura S Oliveira, Orestes V Forlenza, Ricardo F Bento, Rodolfo F Damiano, Rossana P Francisco, Solange R G Fusco, Tarcisio E P Barros-Filho, Wilson J Filho

“…Given that these examinations are highly accessible and low cost, this protocol can be automated and implemented in different countries for early detection of COVID-19 sequelae.…”
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The role of homogenization cycles and Poloxamer 188 on the quality of mitochondria isolated for use in mitochondrial transplantation therapy by Ryosuke Takegawa, Kei Hayashida, Atsushi Murao, Yusuke Endo, Cyrus E. Kuschner, Jacob Kazmi, Eriko Nakamura, Ping Wang, Lance B. Becker

“…Mitochondria were isolated from pectoral muscle biopsies of adult male Sprague–Dawley rats using an automated homogenizer. MitoTracker Deep Red (MTDR) staining and flow cytometry were used to assess mitochondrial purity, while the JC-1 assay evaluated membrane potential. …”
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Elevated Plasma Level of 8-Hydroxy-2′-deoxyguanosine Is Associated with Primary Open-Angle Glaucoma by Altaf A. Kondkar, Taif A. Azad, Tahira Sultan, Essam A. Osman, Faisal A. Almobarak, Saleh A. Al-Obeidan

“…In a retrospective case-control study, plasma samples were obtained from 50 POAG cases and 45 glaucoma-free controls matched for age, sex, and ethnicity. 8-OHdG levels were measured in duplicate using an enzyme-linked immunosorbent assay (ELISA) on an automated ELISA analyzer. Results. There was no significant difference in age, sex, and systemic disease distribution between POAG cases and controls. …”
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Virtual Integration of Satellite and In-situ Observation Networks (VISION) v1.0: In-Situ Observations Simulator (ISO_simulator) by M. R. Russo, M. R. Russo, S. L. Bartholomew, S. L. Bartholomew, D. Hassell, D. Hassell, A. M. Mason, E. Neininger, A. J. Perman, D. A. J. Sproson, D. Watson-Parris, D. Watson-Parris, N. L. Abraham, N. L. Abraham

“…The VISION toolkit is relatively fast to run and can be automated to process large volumes of data at once, allowing efficient data analysis over a large number of years. …”
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Effects of Reduced Substrate Volumetric Water Contents on the Morphology and Physiology of Three Landscape Shrubs Grown in a Greenhouse by Ji-Jhong Chen, Youping Sun

“…Twenty-four plants of each species were randomly assigned to an automated irrigation system, and the substrate volumetric water content was maintained at 0.40 or 0.20 m3⋅m−3 for 50 days. …”
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Self-reported food intolerance, dietary supplement use and malnutrition in chronic inflammatory bowel diseases: Findings from a cross-sectional study in Lebanon. by Maha Hoteit, Nour Ftouni, Malak Olayan, Souheil Hallit, Joya Maria Karam, Mahmoud Hallal, Samer Hotayt, Bilal Hotayt

“…Anthropometric data including height, weight, and BMI with body composition assessment using automated scales and stadiometer, while Bio-impedancemetry was used to measure body fat and visceral fat. …”
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Spatiotemporal dynamics and prevention strategies of cervical cancer incidence in Addis Ababa, Ethiopia: an ecological study by Mathewos Assefa, Eva Johanna Kantelhardt, Teferi Gedif Fenta, Tariku Shimels

“…Objective This study analysed the spatial and temporal patterns of cervical cancer incidence in Addis Ababa from 2012 to 2021.Design An ecological study was conducted from 1 September to 30 November 2023 to examine the spatiotemporal trends of cervical cancer incidence.Setting The research was conducted in Addis Ababa, the capital city of Ethiopia.Participants Included were all patients with clinically and/or histopathologically confirmed diagnoses of cervical cancer.Data analysis The study employed advanced analytical tools including R programming, Quantum Geographic Information System V.3.36.0, GeoDa V.1.2.2 and System for Automated Geoscientific Analyses GIS V.9.3.2. Techniques such as Bayesian empirical testing with a block weighting matrix for hotspot identification, Global Moran’s I for spatial autocorrelation, nearest neighbour imputation and universal Kriging interpolation were used to manage data gaps. …”
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Development of the residual knowledge tests on the general course of physics for the students of the National Research University MPEI by Irina V. Mursenkova, Olga I. Lubenchenko, Konstantin M. Lapitsky

“…The study lead to the conclusion on the effectiveness of using the selected testing material based on the testing results and computerized form of testing with automated assessment of knowledge. The obtained data on the level of learning material assimilation can be used in the development of test tasks for the general physics course in technical universities.…”
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Glaucoma detection and staging from visual field images using machine learning techniques. by Nahida Akter, Jack Gordon, Sherry Li, Mikki Poon, Stuart Perry, John Fletcher, Thomas Chan, Andrew White, Maitreyee Roy

“…Hence, the evidence-based DL model trained from PD images demonstrated that the DL model could stage glaucoma using only PD plots like Mills criteria. This automated DL model will assist clinicians in precision glaucoma detection and progression management during extensive glaucoma screening.…”
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A Mobile App–Based Gratitude Intervention’s Effect on Mental Well-Being in University Students: Randomized Controlled Trial by Chloë Fuller, Silvia Marin-Dragu, Ravishankar Subramani Iyer, Sandra Melanie Meier

“…Participants in the intervention group used both a fully automated mobile sensing app and a gratitude intervention mobile iOS smartphone app designed for youth users and based on previous gratitude interventions and exercises. …”
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Prospective Application of the Erythrocyte Sedimentation Rate (ESR) as a Possible Inflammatory Marker in Feline Patients by Eleonora Gori, Anna Pasquini, Saverio Paltrinieri, George Lubas, Carlo Militello, Daniela Diamanti, Carlo Carletti, Marianna Pantoli, Veronica Marchetti

“…The application of the erythrocyte sedimentation rate (ESR) in feline medicine is currently unavailable, while in canine medicine it has been rediscovered due to the introduction of an automated ESR device. Our aims were to (1) define the reference interval (RI) of the ESR in healthy cats, (2) evaluate the ESR values between healthy and ill cats, (3) evaluate relationships between the ESR and some inflammatory markers, and (4) assess ESR changes in different durations of illness (acute, chronic, or acute-on-chronic). …”
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Credit Risk Modeling Using Interpreted XGBoost by Marcin Hernes, Jędrzej Adaszyński, Piotr Tutak

“…In the consumer finance sector, the processes are usually largely automated, and increasingly the latest machine learning methods based on neural networks and ensemble learning methods are being used for the purpose. …”
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