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Breeze 2.0: an interactive web-tool for visual analysis and comparison of drug response data

NUCLEIC ACIDS RESEARCH 2023年第W1期51卷 W57-W61页

作者： Potdar, Swapnil Ianevski, Filipp Ianevski, Aleksandr Tanoli, Ziaurrehman Wennerberg, Krister Seashore-Ludlow, Brinton Kallioniemi, Olli Ostling, Paeivi Aittokallio, Tero Saarela, Jani Univ Helsinki Inst Mol Med Finland FIMM HiLIFE Helsinki Finland Univ Copenhagen Biotech Res & Innovat Ctr BR Copenhagen Denmark Karolinska Inst Chem Biol Consortium Sweden CBCS Sci Life Lab Dept Med Biochem & Biophys Stockholm Sweden Karolinska Inst Dept Oncol Pathol Sci Life Lab Stockholm Sweden Oslo Univ Hosp Inst Canc Res Dept Canc Genet Oslo Norway Univ Oslo Fac Med Ctr Biostat & Epidemiol OCBE Oslo Norway

Functional precision medicine (fPM) offers an exciting, simplified approach to finding the right applications for existing molecules and enhancing therapeutic potential. Integrative and robust tools ensuring high accuracy and reliability of the results are critical. In response to this need, we previously developed Breeze, a drug screening data analysis pipeline, designed to facilitate quality control, dose-response curve fitting, and data visualization in a user-friendly manner. Here, we describe the latest version of Breeze (release 2.0), which implements an array of advanced data exploration capabilities, providing users with comprehensive post-analysis and interactive visualization options that are essential for minimizing false positive/negative outcomes and ensuring accurate interpretation of drug sensitivity and resistance data. The Breeze 2.0 web-tool also enables integrative analysis and cross-comparison of user-uploaded data with publicly available drug response datasets. The updated version incorporates new drug quantification metrics, supports analysis of both multi-dose and single-dose drug screening data and introduces a redesigned, intuitive user interface. With these enhancements, Breeze 2.0 is anticipated to substantially broaden its potential applications in diverse domains of fPM.

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Statistical reliability analysis on lunar exploration satellites

Statistical reliability analysis on lunar exploration satell...

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Accelerating Space Commerce, exploration, and New Discovery conference, ASCEND 2021

作者： Malaya Kumar Biswal, M. Ramesh Kumar, v. Das, Noor Basanta Grahaa Space Karnataka Bangalore560093 India

ISBN: (纸本)9781624106125

Reliability assessment holds a significant role in interpreting the lifetime of satellites. This paper investigates and discusses the reliability behavior exhibited by various lunar spacecraft's attempted till 2021. We utilize robust non-parametric and parametric estimators such as Kaplan-Meier and Weibull Probability to understand the reliability and hazard function from lifetime data of lunar spacecraft. We then conduct a reliability study to compare various reliability outcomes from spacecraft's operating beyond lunar extremity. Finally, based on the results, we discuss some possible causes and significant factors responsible for perturbed reliability behavior and recommendations for enhancing future exploration satellites' reliability. The prime intent of this study is to understand the reliable nature of lunar satellites and to sort out the factors accountable for unreliability and countermeasures to improve and enhance satellite reliability. © 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Weibull distribution

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Characterization of voltage Fluctuations: A Methodology to KPI analysis and Anomaly Diagnosis

Characterization of Voltage Fluctuations: A Methodology to K...

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International conference on Energy Transition in the Mediterranean Area (SyNERGY MED)

作者： Spyros Theocharides Anjie Jiang Sascha Lindig Julián Ascencio-vásquez Solar AI Analytics Department Univers SAS France Solar AI Analytics Department Univers Inc Santa Clara CA USA

ISBN: (数字)9798350375923

ISBN: (纸本)9798350375930

This work presents an algorithm designed to analyse voltage signals in Photovoltaic (Pv) systems that aim to describe voltage changes in terms of operation and maintenance (O&M) corrective actions for further Pv yield optimization. The algorithm examines daily voltage Key Performance Indicators (KPIs) to detect and diagnose abnormalities. The process employs stringent data quality checks, statistical analysis, and control charts. The results clearly indicate the effectiveness of the system in identifying performance impairing issues, such as fluctuations in voltage, obstruction of sunlight by vegetation, accumulation of dirt, and decreases in voltage levels. visual evaluation emphasises the significance of these diagnostics for proactive maintenance, and thereby guaranteeing the reliability and effectiveness of Pv systems. This methodology improves the operating performance of Pv systems, hence enhancing their sustainability and economic feasibility.

关键词： Photovoltaic systems visualization voltage fluctuations Fluctuations Statistical analysis Key performance indicator Process control vegetation Maintenance Sustainable development

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Automatic code generation from UML for data memory optimization in microcontrollers

Automatic code generation from UML for data memory optimizat...

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conference on Design of Circuits and Integrated Circuits (DCIS)

作者： Héctor Posadas José Luis vázquez Eugenio villar Microelectronics Engineering Group Universidad de Cantabria Santander Spain

Design of applications for microcontrollers is typically constrained by the limited hardware capabilities of this devices. As embedded systems, the specificities of each application should be analyzed to overcome these limitations, but this is not easy to do. To help in this process, this paper proposes an analysis of some communication semantics, its potential impact on data memory usage and alternatives to minimize it. Moreover, a design tool capable of automatically generate code for microcontrollers from UML models is proposed. That way, engineers can automatically generate implementations from the communication semantics specified in the UML model. That way, exploration of the design alternatives can be done with minimal recoding effort.

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Cloud-Powered Mobility: A Seamless Integration Approach for Mobile Apps

Cloud-Powered Mobility: A Seamless Integration Approach for ...

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International conference on Inventive Systems and Control (ICISC)

作者： P v S Satwik T Sai Jeevan Reddy B Sai Prabhas vijay Kumar Burugari P S v S Sridhar Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Guntur Andhra Pradesh India

ISBN: (数字)9798350386578

ISBN: (纸本)9798350386585

As cloud services continue to gain importance, their integration with mobile applications lags, despite notable exceptions such as Telegram. This research study analyzes the foundational aspects of cloud computing systems, their organization, architecture, and the need for mobile application integration. It explains the necessary development tools and motivations driving app migration to the cloud, while also exploring the fundamentals and layers of mobile cloud computing systems. Through an analysis of techniques like data synchronization and computational offloading, this study highlights the importance of security and reliability. Case studies across domains demonstrate the scalability of this framework for next-generation mobile applications. Furthermore, security and privacy concerns are addressed, alongside an exploration of the services offered by mobile-based cloud providers. Highlighting measures for ensuring security, privacy, and reliability in cloud-powered mobility solutions, this research study covers fault tolerance, data encryption, and authentication systems. Integration with major cloud providers like Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform is discussed, along with advanced methodologies and recommendations for future advancements in the field.

关键词： Cloud computing Privacy Web services Scalability Organizations Propulsion Mobile handsets

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A Qualitative exploration of Supervisory Practices and Strategies for Developing Clinical Judgment in Psychology

A Qualitative Exploration of Supervisory Practices and Strat...

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Future of Education conference (IFE), Institute for the

作者： Xóchitl Garza-Olivares Brenda Ivonne Domínguez vásquez Carlos Rodríguez-Aguirre Depto. Psicología Clínica y de la Salud Tecnológico de Monterrey Monterrey México Dept. Clinicial and Health Psychology Tecnológico de Monterrey Monterrey México

ISBN: (数字)9798350355239

ISBN: (纸本)9798350355246

Clinical supervision in psychology is a process of accompanying and guiding undergraduate psychology students to achieve the competencies necessary for effective clinical intervention The consolidation of learning from existing theoretical psychology models to develop the implementation of techniques and procedures requires the accompaniment of clinical supervisors. In Mexico, clinical supervision is crucial to developing clinical intervention competencies during the internship and thus obtaining a degree in clinical psychology. The clinical supervision was given in two moments, one before the intervention focused on the elaboration of a therapeutic work plan and one post-intervention focused on a metacognitive process and clinical judgment on their performance. This research aimed to identify the practices and pedagogical strategies used by clinical supervisors to develop clinical judgment competencies in their students through four components: recognition of theories and models, development of techniques and tools, identification of the intervention's purpose, and development of ethical criteria with professionalism. The methodological design was qualitative with a semi-structured questionnaire as a data collection tool, and *** software was used for the data analysis. The participants were 19 clinical supervisors in the process of training undergraduate students in clinical and health psychology from Tecnológico de Monterrey, México. The results found that case-oriented reading is most commonly used by supervisors as a strategy to develop recognition of psychological theories as well as the clinical simulation as a pedagogical strategy for the development of intervention techniques. Moreover, the development of ethical criteria and professionalism is of great interest to the supervisors. It can be concluded that following a structured plan for clinical supervision allows for the outstanding development of psychological intervention competencies, attending to

关键词： Training Ethics Technological innovation data analysis Design methodology Psychology data collection Software

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Thermal and visual Comfort analysis Using CBE Tools and velux Simulation of Classroom in R.21 in Gedung Kuliah Bersama v University of Bengkulu 20

Thermal and Visual Comfort Analysis Using CBE Tools and Velu...

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20th Sustainable, Environment and Architecture, SENvAR 2020

作者： Seftyarizki, D. Prihatiningrum, A. Ramawangsa, A. Architecture Department Universitas Bengkulu Indonesia

Thermal and visual Comfort are two important subjects in building science. These two requirements also play important roles in creating good indoor environment quality. So does with R.21 in Gedung Bersama v Universitas Bengkulu, which used as a classroom. In a previous study, daylight visual comfort and mean radiant temperature for thermal comfort are already identified. However, the visual comfort of the previous study only defined the annual daylight. Meanwhile, thermal comfort was only defined by the mean radiant temperature obtained. In this recent study, different methods will be conducted to get more reliable results as well as upgrading the research quality. Thermal and visual Comfort on August at 9 am, 11 am, and 1 pm and 3 pm will be identified. Thermal comfort quality will be measured with PMv standard from CBE calculation. Meanwhile, visual comfort quality will be interpreted using velux daylight analysis and visualization. Weather data input is collected from Meteoblue. The result of the study showed that thermal comfort of the classroom is higher than standard, with PMv 1. Whereas visual comfort obtained already met the standard. Nevertheless, more output data obtained can improve the research map. © Published under licence by IOP Publishing Ltd.

关键词： Quality control

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In Factuality: Efficient Integration of Relevant Facts for visual Question Answering 59

In Factuality: Efficient Integration of Relevant Facts for V...

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Joint conference of 59th Annual Meeting of the Association-for-Computational-Linguistics (ACL) / 11th International Joint conference on Natural Language Processing (IJCNLP) / 6th Workshop on Representation Learning for NLP (RepL4NLP)

作者： vickers, Peter Aletras, Nikolaos Monti, Emilio Barrault, Lac Univ Sheffield Dept Comp Sci Sheffield S Yorkshire England Amazon United Kingdom Wednesbury England

ISBN: (纸本)9781954085534

visual Question Answering (vQA) methods aim at leveraging visual input to answer questions that may require complex reasoning over entities. Current models are trained on labelled data that may be insufficient to learn complex knowledge representations. In this paper, we propose a new method to enhance the reasoning capabilities of a multi-modal pretrained model (vision+Language BERT) by integrating facts extracted from an external knowledge base. Evaluation on the KvQA dataset benchmark demonstrates that our method outperforms competitive baselines by 19%, achieving new state-of-the-art results. We also perform an extensive analysis highlighting the limitations of our best performing model through an ablation study.

关键词： Knowledge representation

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Central laptev zone of gas seeps: Comprehensive analysis of seismic data 23

Central laptev zone of gas seeps: Comprehensive analysis of ...

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23th conference on Oil and Gas Geological exploration and Development, Geomodel 2021

作者： Bogoyavlensky, v.I. Kishankov, A.v. Kazanin, A.G. Oil and Gas Research Institute The Russian Academy of Sciences JSC «Marine Arctic Geological Expedition»

ISBN: (纸本)9789462823839

The object of the research was the Central Laptev area, including the zone of intensive methane emission through the seafloor. The research consisted of analysis of seismic sections and separate seismograms for 28 lines with total length of 5930 km. As a result of the research, the absence of subaqual permafrost and gas hydrates, and also connection of seeps with faults reaching great depths of the sedimentary cover were proved. It was justified that the studied zone is one of the most unique on the shallow shelf of the Arctic. It includes thick sedimentary cover with high petroleum potential, active seismic events and systems of tectonic faults with prevailing regional extension stress. This led to formation of the large window of continuous intensive degassing of the Earth with direct migration of deep thermogenic gas through systems of faults and subvertical fractures. © Geomodel 2021 - 23th Conf. on Oil and Gas Geo. Expl. and Dev. All rights reserved.

关键词： Gas hydrates

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Sentinel Watch: Harnessing AI and ML for Proactive Crime Prediction and Crowd Management

Sentinel Watch: Harnessing AI and ML for Proactive Crime Pre...

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Sustainable Communication Networks and Application (ICSCNA), International conference on

作者： D. Menaga J Jenefa Angelin v Pallavi Priyadharshini Department of Computer Science and Engineering St. Joseph's Institute of Technology Chennai India

ISBN: (数字)9798331530013

ISBN: (纸本)9798331530020

This research aims to revolutionize crime prevention and public safety by integrating advanced machine learning techniques for real-time crime monitoring and analysis. The proposed system integrates location-based crime classification and video-based violence detection, delivering a comprehensive approach to crime recognition. Leveraging Random Forest, Decision Tree, and K-Nearest Neighbours (KNN) algorithms, the proposed system achieves 99.0% accuracy in classifying crime types using location data inputs. Complementing this, Convolutional Neural Networks (CNNs) are utilized for video analysis, distinguishing violent from non-violent content with 93% accuracy. By combining spatial data insights with real-time video analytics, the framework addresses the dual challenge of detecting crime trends and analysing violent incidents. The exceptional accuracy rates underscore the potential of the system to enhance public safety measures, optimize resource allocation, and enable proactive crime prevention strategies.

关键词： Accuracy Machine learning algorithms Prevention and mitigation Heuristic algorithms visual analytics Urban areas Real-time systems Public security Classification algorithms Resource management

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