Interface empresa-universidade e a gestão da tecnologia by José Carlos Teixeira da Silva, José de Souza Rodrigues

“…It was proposed, based in Silva(1999), the DOC-Development Operational Center as an adequate management model to that industry-university interface.…”
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Point-of-caRE DiagnostICs for respiraTOry tRact infectionS (PREDICTORS) study: developing guidance for using C-reactive protein point-of-care tests in the management of lower respi... by Tom Fahey, Carmel Hughes, Akke Vellinga, Cristin Ryan, Gerard J Molloy, Cathal Cadogan, Joseph O’Shea

“…C-reactive protein (CRP) point-of-care tests (POCTs) are promising tools to support antibiotic stewardship by guiding the management of lower RTIs (LRTIs). The aim of this study was to develop best practice guidance for using CRP POCT in the management of LRTIs in primary care.Design Scoping review findings informed guidance statements, which were then evaluated through a three-round Delphi process with an expert panel via web-based questionnaires. …”
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Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

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A PERFORMANCE-BASED APPROACH TO AIRSPACE OPTIMIZATION USING WIND-OPTIMAL TRACKS NETWORK IN HO CHI MINH FIR by Ngoc Hoang Quan NGUYEN, Minh Hoang LE, Trinh Binh DINH, Phuc Ky NGUYEN, Thu Thao NGUYEN, Toan Thinh LE, Van Tien Son NGUYEN, Hoang Vu NGUYEN

“…The research contributes to the advancement of air traffic management (ATM) systems, particularly in the context of HCM FIR, minimizing air traffic controller (ATC) workload, and offering valuable insights for enhancing operational efficiency and safety in the airspace. …”
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Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection by Paolo Fazzini, Giuseppe La Tona, Matteo Diez, Maria Carmela Di Piazza

“…Abstract Accurate forecasting of shipboard electricity demand is essential for optimizing Energy Management Systems (EMSs), which are crucial for efficient and profitable operation of shipboard power grids. …”
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Multi-Objective Optimization of Manufacturing Process Using Artificial Neural Networks by Katarína Marcineková, Andrea Janáková Sujová

“…The primary objective of this study is to develop a mathematical model for optimizing the detected key process by employing artificial neural networks (ANNs) which mirror adaptive management principles. …”
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Optimising urban lighting efficiency with IoT and LoRaWAN integration in smart street lighting systems by Waheb A. Jabbar, Tan Keng Keat, Fares A. Dael, Lee Chee Hong, Yusra Farhana M. Yussof, Abdul Nasir

“…By activating lighting only when pedestrians or vehicles are detected and dimming or turning off when no presence is sensed, the system demonstrates superior performance over conventional models. …”
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An Energy-Efficient Battery Monitoring and Logging System for Agricultural Robotics with CAN Bus Integration by Soosaar Guido, Lillerand Tormi

“…Targeting off-grid field operations, the system features a modular architecture integrating a Controller Area Network (CAN) - based Battery Management System (BMS), a Raspberry Pi microcontroller, a low-power e-ink display for local feedback, and a web-accessible API for remote diagnostics. …”
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Online Core Temperature Estimation for Lithium-Ion Batteries via an Aging-Integrated ECM-1D Coupled Model-Based Algorithm by Yiqi Jia, Lorenzo Brancato, Marco Giglio, Francesco Cadini

“…Thermal management is pivotal for ensuring the safe and efficient operation of LIBs under dynamic conditions. …”
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Urban Traffic State Sensing and Analysis Based on ETC Data: A Survey by Yizhe Wang, Ruifa Luo, Xiaoguang Yang

“…Urban traffic management faces challenges, including inadequate sensing capabilities and insufficient operational status evaluation. …”
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Internet of Things (IoT) Sensors for Water Quality Monitoring in Aquaculture Systems: A Systematic Review and Bibliometric Analysis by Manhiro Flores-Iwasaki, Grobert A. Guadalupe, Miguel Pachas-Caycho, Sandy Chapa-Gonza, Roberto Carlos Mori-Zabarburú, Juan Carlos Guerrero-Abad

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ATRIAL FIBRILLATION FOLLOWING CARDIAC SURGERY: PATHOPHYSIOLOGY AND PREVENTION TECHNIQUES (part 2) by V. V. Lomivorotov, S. M. Efremov, E. A. Pokushalov, V. A. Boboshko

“…A wide range of drugs is used for anti-thrombotic therapy in the patients undergoing cardiac surgery. Effective management of post-operative atrial fibrillation in those undergoing cardiac surgery is to consider clinical status of the patient, concurrent diseases and risk of stroke and hemorrhage.…”
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BSO-CNN: A BSO Pressure Optimized CNN Model for Water Distribution Networks by Waghmare Shwetambari Pandurang, Renu Praveen Pathak, Imtiyaz Ahmad Wani

“…Subsequently, the optimized data is employed to execute accurate flow control protocols and detect possible leakage points. Major advantages are achieved with the BSO-CNN approach, including lower operating costs, more efficiency, and less water pressure needed. …”
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Innovation ARIMA models application to predict pressure variations in water supply networks with open-loop control. Case study in Noja (Cantabria, Spain) by David Muñoz-Rodríguez, Manuel J. González-Ortega, María-Jesús Aguilera-Ureña, Andrés Ortega-Ballesteros, Alberto-Jesus Perea-Moreno

“…By accurately forecasting CPC pressure, this system enhances the detection of anomalous patterns, enabling more efficient network pressure management. …”
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Customs security in the system of ensuring the economic security of the state by D.S. Osipchuk, O.Yu. Pidgornyi, Yа.Yu. Pidgornyi, M.O. Zborovskyi, R.I. Kovalok

“…It is highlighted that achieving a high level of customs security requires continuous improvement of the customs authorities’ operations. In particular, the introduction of modern information technologies, enhancement of automated risk management systems, strengthening of anti-corruption measures, and the development of international cooperation are seen as promising directions. …”
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Explainable artificial intelligence for sustainable urban water systems engineering by Shofia Saghya Infant, Sundaram Vickram, A Saravanan, C M Mathan Muthu, Devarajan Yuarajan

“…Explainable Artificial Intelligence (XAI) has potential for revolutionary improvements in operational efficiency, resilience, and decision-making in the engineering of sustainable urban water systems. …”
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Urban policies for in-house vaccination of vulnerable people during COVID-19 based on critical systems learning by M. Samadi-Foroushani, S. S. Miresmaeeli, A. Nasiri, Z. Molamohamadi

“…According to the findings, 34 strategic defaults were identified and 17 defaults were proposed in the secure planning area, including: redefining the provision of healthcare services to vulnerable groups during the pandemics; providing services to all vulnerable groups during disasters through Tehran’s joint emergency response call center; providing stable financial resources to perform services to vulnerable populations during the pandemics; collecting, updating, and integrating the related databases (such as elderlies, patients, people with disabilities, etc.); training service providers (e.g. call center operators, vaccinators, etc.) in accordance with the specific situations of vulnerable groups; developing guidelines for providing in-house services to vulnerable people; obliging the managers to be accountable for obeying protective laws relating to vulnerable groups in disaster; identifying the potential capacities of the private sectors and nongovernmental organizations; considering a medical support team; consulting with advisors and caregivers of vulnerable groups; using temperature recording devices to ensure the cold chain of vaccines; and setting up local disaster management support bases in order to assure the agility of the provided services to the vulnerable populations in Tehran.CONCLUSION: The current study deals with the critical rethinking of providing health services to vulnerable populations during a pandemic, by designing a systemic intervention. …”
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SQAS, social responsibility assessment or instrumentalisation? by Juan-Luis Torres-Rubira

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Patient and wearable device authentication utilizing attribute-based credentials and permissioned blockchains in smart homes by Solomon Hopewell Kembo, Patience Mpofu, Saulo Jacques, Nevil Chitiyo, Brighton Mukorera

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Data driven multi-objective optimization of sustainable aviation emergency network for forest fire rescue by Jun Huang, Qiuhong Zhao

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