Results 31 to 40 of about 20,368,872 (251)

System Design of an Online Marketplace Towards the Standardisation of Sustainable Energy Efficiency Investments in Buildings

Eng
Nowadays, the increase in sustainable investments, especially when it comes to energy efficiency in buildings, has been recognised as an important pillar towards reductions in energy consumption.
Ioanna Andreoulaki, Aikaterini Papapostolou, Daniela Stoian, Konstantinos Kefalas, Vangelis Marinakis   +4 more
doaj   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

An architecture for organisational decision support [PDF]

, 2007
The Decision Support (DS) topic of the Network Enabled Capability for Through Life Systems Engineering (NECTISE) project aims to provide organisational through-life decision support for the products and services that BAE Systems deliver.
Whitfield, R.I., Duffy, A.H.B., Thomson, A., Wu, Z., Liu, S.   +4 more
core   +3 more sources

Predicting Ship Main Engine Fuel Oil Consumption Using a Mixture of Experts Approach

IEEE Access
Predicting ship fuel oil consumption is crucial for optimizing fuel efficiency, reducing operational costs, and minimizing environmental impact. Prior work uses either shallow machine learning (ML) algorithms (e.g., AdaBoost, Bagging, ExtraTrees, Random ...
Loukas Ilias, Afroditi Blika, Ariadni Michalitsi-Psarrou, Spiros Mouzakitis, Dimitris Askounis   +4 more
doaj   +1 more source

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin, Sheila K. Pierson, Kelley C. Dacus, Mateo Sarmiento Bustamante, Saishravan Shyamsundar, Larissa Borys, Kayla McHugh, Abiola Irvine, Yoojin Jo, Adam Bagg, Mary Jo Lechowicz, Daisy Alapat, Amy Chadburn, Megan S. Lim, Gordan Srkalovic, Frits van Rhee, David C. Fajgenbaum, Joshua D. Brandstadter   +17 more
wiley   +1 more source

Leveraging Graph Analytics for Energy Efficiency Certificates

Energies, 2022
As energy efficiency is becoming a subject of utter importance in today’s societies, the European Union and a vast number of organizations have put a lot of focus on it. As a result, huge amounts of data are generated at an unprecedented rate.
Panagiotis Kapsalis, Giorgos Kormpakis, Konstantinos Alexakis, Dimitrios Askounis   +3 more
doaj   +1 more source

The Impact of the COVID‐19 Pandemic on Childhood Cancer Survival: A Population‐Based Assessment of Survival Patterns Between 2015 and 2023 in Germany

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann, Maike Wellbrock, Javier Louro, Arndt Borkhardt, Martin Schrappe, Claudia Trübenbach, Desiree Grabow, Cécile M. Ronckers, Joachim Schüz   +8 more
wiley   +1 more source

Development of a stress-free algorithm for controlling active running platforms [PDF]

ITM Web of Conferences
The problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies,
Obukhov Artem, Karpushkin Sergey, Siukhin Aleksandr, Patutin Kirill, Averin Yaroslav   +4 more
doaj   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari, Regina Hadi Putri, Fatimah Assyifa, Judith Spijkerman, Gertjan Johannes Kaspers, Susi Susanah   +5 more
wiley   +1 more source

AI4EF: Artificial Intelligence for Energy Efficiency in the building sector

SoftwareX
AI4EF (Artificial Intelligence for Energy Efficiency) is an advanced, user-centric tool designed to support decision-making in building energy retrofitting and efficiency optimization.
Alexandros Menelaos Tzortzis, Georgios Kormpakis, Sotiris Pelekis, Ariadni Michalitsi-Psarrou, Evangelos Karakolis, Christos Ntanos, Dimitris Askounis   +6 more
doaj   +1 more source