Article
Computer Science, Information Systems
Rashid Hussain Khokhar, Benjamin C. M. Fung, Farkhund Iqbal, Khalil Al-Hussaeni, Mohammed Hussain
Summary: With the increasing adoption of digital health platforms, connecting with medical practitioners and accessing resources for managing health-related concerns has become more flexible. However, sharing healthcare data comes with the risk of privacy threats. In this article, a heterogeneous information network is used to model a complex healthcare dataset, and an edge-based differentially private algorithm called DiffHetNet is proposed to protect patients' sensitive links. Experimental results demonstrate that DiffHetNet is efficient and has less information loss compared to existing network anonymization methods.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
(2023)
Article
Computer Science, Artificial Intelligence
Qi Liu, Gengzhong Feng, Weibo Zheng, Jun Tian
Summary: This paper proposes a method based on source control to improve the data quality problem of a cooperative information system, emphasizing on controlling the data quality of subsystems to optimize the overall data quality. Two optimization models for different decision scenarios are developed, and an improved artificial bee colony algorithm is proposed to solve the models and showcase its superiority.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Yijian Zou, Karthik Siva, Tomohiro Soejima, Roger S. K. Mong, Michael P. Zaletel
Summary: This study introduces two related non-negative measures of tripartite entanglement and shows that states with nonzero measures have nontrivial entanglement. Additionally, it demonstrates that these entanglement measures in one dimension depend only on the emergent low-energy theory. For a gapped system, it argues that entanglement measures either both nonzero or both zero, depending on the system's ground state. Furthermore, a numerical algorithm is developed for computing entanglement measures in critical systems.
PHYSICAL REVIEW LETTERS
(2021)
Article
Chemistry, Analytical
Abdulmohsen Almalawi, Asif Irshad Khan, Fawaz Alsolami, Yoosef B. B. Abushark, Ahmed S. S. Alfakeeh
Summary: The advent of AI and IoT has created new opportunities for healthcare, but the challenge of storing and securely transferring data remains. This research proposes a novel encryption method to protect sensitive patient data from unauthorized access and cyber-attacks. The method combines metaheuristic optimization and improved security algorithm to generate secure keys for encryption. The experiment's findings suggest that the proposed method is effective in reducing execution time and improving privacy standards.
Article
Multidisciplinary Sciences
Stefan Birnkammer, Alvise Bastianello, Michael Knap
Summary: This study investigates the thermalization dynamics after a quantum quench in confined systems and finds that it exhibits multiple stages. Taking the confined Ising spin chain as an example, bound states resembling mesons are formed. The system first reaches a prethermal state related to the number of conserved mesons, and then achieves true thermal equilibrium at much later times.
NATURE COMMUNICATIONS
(2022)
Article
Obstetrics & Gynecology
Priyanka Ghosh, Neha Hafeez, Joseph Sanfilippo
Summary: In the rapidly evolving healthcare industry, providers must have a solid grasp of practice management in order to deliver safe, high-quality, and cost-effective care, particularly in complex settings like reproductive endocrinology and infertility practices. This article outlines the basics of medical practice management in six sections, with a focus on applying these principles to the REI practice.
FERTILITY AND STERILITY
(2021)
Article
Physics, Multidisciplinary
Jonathan A. Gross, Carlton M. Caves
Summary: It is challenging to establish achievable sensitivity bounds for quantum multiparameter estimation. In a special case where many parameters of a process are unknown, estimating a specific linear combination of these parameters without control is superficially similar to single-parameter estimation but retains genuinely multiparameter aspects. Geometric reasoning demonstrates the necessary and sufficient conditions for saturating the fundamental and attainable quantum-process bound in this context.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2021)
Article
Meteorology & Atmospheric Sciences
Xinyi Liu, Chunyuan Li, Dongren Liu, Michael L. Grieneisen, Fumo Yang, Chao Chen, Yu Zhan
Summary: This study explores the use of deep learning models to predict spatiotemporal distributions of surface NO2 in China. The ensemble FC-AE-RES-CNN model outperforms the random forest model, suggesting that deep learning models have the potential to replace traditional machine learning models in environmental mapping applications.
ATMOSPHERIC RESEARCH
(2022)
Article
Chemistry, Analytical
Anubis Graciela de Moraes Rossetto, Christofer Sega, Valderi Reis Quietinho Leithardt
Summary: This paper presents an architecture to ensure the privacy of health-related data stored and shared in a decentralized manner within a blockchain network through encryption. Evaluation tests demonstrate an impact on computational effort and execution time, justified by the privacy and security provided.
Article
Psychology, Multidisciplinary
Erich Kummerfeld, Galin L. Jones
Summary: Researchers often make choices in the data analysis process, but it is unclear to readers how these choices are made and how they affect the findings. Concerns about subjective decisions influencing data analysis results have led to investigations into the variability of these results. Previous research focused on the existence of the "many-analysts problem" without suggesting specific practices to solve it. This study identifies three pitfalls contributing to the observed variability and provides suggestions to avoid them.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Astronomy & Astrophysics
A. Mironov, A. Morozov
Summary: This paper provides some details about recently discovered integrable systems implied by commutativity of W-operators along the rays on the plane of roots of the w infinity-algebra. The simplest system of this type is the rational Calogero model, while other systems have not received attention in the past. The existence of these systems is closely tied to the currently intensively studied WLZZ matrix models.
Article
Automation & Control Systems
Parsa Sarosh, Shabir Ahmad Parah, Bilal Ahmad Malik, Mohammad Hijji, Khan Muhammad
Summary: This article presents a cybersecurity framework for medical images in a smart healthcare system. It introduces two novel two-dimensional chaotic maps that generate highly robust cipher images, protecting medical data against cyberattacks. The proposed solution ensures data privacy and a seamless treatment experience.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Editorial Material
Biology
Ivan Izonin, Hakan Kutucu, Krishna Kant Singh
Summary: The modern development of Medicine and Healthcare relies heavily on the automation of processes for accurate and timely medical decisions. The speed, accuracy, and reliability of diagnosis, prevention, and treatment by medical staff are essential for quality patient care. This Special Issue focuses on science-intensive real-time solutions that are the foundation for smart systems and data-driven services in Healthcare and Medicine.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Computer Science, Hardware & Architecture
Hassan N. Noura, Reem Melki, Ali Chehab, Javier Hernandez Fernandez
Summary: Efforts have been made to achieve robust and efficient communication in Smart Grids, with researchers proposing a new generation of Narrow-Band Power Line Communication (NB-PLC) protocols. PLC technology offers cost-effective data and power transmission using existing cables. A security solution was proposed to enhance availability and confidentiality in PLC communication, utilizing Information Dispersal Algorithm (IDA) and physical characteristics of PLC channels to minimize overhead without sacrificing performance.
Article
Engineering, Electrical & Electronic
Marcos Tostado-Veliz, Samundra Gurung, Francisco Jurado
Summary: This paper presents an efficient stochastic many-objective solution framework based on Mixed Integer Linear Programming formulation, which is suitable for Home Energy Management systems focusing on energy cost. The validation on a standard home layout benchmark demonstrates the effectiveness and efficiency of the proposed approach.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Karamjit Kaur, Rinkle Rani
Article
Mathematical & Computational Biology
Karamjit Kaur, Rinkle Rani
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
(2016)
Article
Computer Science, Software Engineering
Megha Bhushan, Shivani Goel, Karamjit Kaur
JOURNAL OF SYSTEMS AND SOFTWARE
(2018)
Article
Engineering, Civil
Robert Doe, Karamjit Kaur, Matt Selway, Markus Stumptner
Summary: This research proposes recommendations for improving interoperability in the AECO sector by connecting domains, building lifecycles, and software systems. By mapping relevant standards and systems, the research explores the nature of object-based data exchanges in the Oil & Gas sector and its implications for AECO. The paper suggests measures such as improved API standards and adaptors, enhanced use case definitions, and scalable semantic connectivity to facilitate lasting and significant change in the AECO sector.
JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION
(2022)
Proceedings Paper
Computer Science, Information Systems
Karamjit Kaur, Matt Selway, Georg Grossmann, Markus Stumptner, Alan Johnston
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS (IOT'18)
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Megha, Arun Negi, Karamjit Kaur
INFORMATION, COMMUNICATION AND COMPUTING TECHNOLOGY
(2017)
Article
Obstetrics & Gynecology
Saraswathi Ramesh, Nilopher Surti, Karamjit Kaur
JOURNAL OF GYNECOLOGIC SURGERY
(2015)
