View article
Use of a 2-Dose Schedule for Human Papillomavirus Vaccination — Updated Recommendations of the Advisory Committee on Immunization Practices Open
Vaccination against human papillomavirus (HPV) is recommended to prevent HPV infections and HPV-associated diseases, including cancers. Routine vaccination at age 11 or 12 years has been recommended by the Advisory Committee on Immunizatio…
View article
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems Open
Flexible job shop scheduling problems (FJSP) have received much attention from academia and industry for many years. Due to their exponential complexity, swarm intelligence (SI) and evolutionary algorithms (EA) are developed, employed and …
View article
Electric Vehicle Charging on Residential Distribution Systems: Impacts and Mitigations Open
This paper aims to understand, identify, and mitigate the impacts of residential electric vehicle (EV) charging on distribution system voltages. A thorough literature review on the impacts of residential EV charging is presented, followed …
View article
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators Open
Prognostics and health management is an emerging discipline to scientifically manage the health condition of engineering systems and their critical components. It mainly consists of three main aspects: construction of health indicators, re…
View article
Campaign Contributions Facilitate Access to Congressional Officials: A Randomized Field Experiment Open
Concern that donations to political campaigns secure preferential treatment from policy makers has long occupied judges, scholars, and the public. However, the effects of contributions on policy makers’ behavior are notoriously difficult t…
View article
Stochastic Event-Triggered Sensor Schedule for Remote State Estimation Open
We propose an open-loop and a closed-loop stochastic event-triggered sensor schedule for remote state estimation. Both schedules overcome the essential difficulties of existing schedules in recent literature works where, through introducin…
View article
Student Satisfaction and Perceived Learning with On-line Courses: Principles and Examples from the SUNY Learning Network Open
The State University of New York (SUNY) Learning Network (SLN) is the online instructional program created for the 64 colleges and nearly 400,000 students of SUNY. The foundation of the program is freedom from schedule and location constra…
View article
The impact of shift work on the psychological and physical health of nurses in a general hospital: a comparison between rotating night shifts and day shifts Open
Our results suggest that nurses with rotating night schedule need special attention due to the higher risk for both job dissatisfaction and undesirable health effects.
View article
The European roadmap towards fusion electricity Open
The European roadmap to the realization of fusion electricity breaks the quest into eight missions. For each mission, it reviews the current status of research, identifies open issues, and proposes a research and development programme. ITE…
View article
Do Prices Reveal the Presence of Informed Trading? Open
Using a comprehensive sample of trades from Schedule 13D filings by activist investors, we study how measures of adverse selection respond to informed trading. We find that on days when activists accumulate shares, measures of adverse sele…
View article
European DEMO design strategy and consequences for materials Open
Demonstrating the production of net electricity and operating with a closed fuel-cycle remain unarguably the crucial steps towards the exploitation of fusion power. These are the aims of a demonstration fusion reactor (DEMO) proposed to be…
View article
Advisory Committee on Immunization Practices Recommended Immunization Schedule for Adults Aged 19 Years or Older — United States, 2017 Open
In October 2014, the Advisory Committee on Immunization Practices (ACIP) approved the Recommended Immunization Schedule for Adults Aged 19 Years or Older, United States, 2015. This schedule provides a summary of ACIP recommendations for th…
View article
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection Open
Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine learning is an efficient and accurate way to detect COVID-19 infections. However, the sharing of diagnostic images across medical institutions is usually prohibited d…
View article
Energy-Efficient Data Collection and Device Positioning in UAV-Assisted IoT Open
The Internet of Things (IoT) will significantly change both industrial manufacturing and our daily lives. Data collection and 3-D positioning of IoT devices are two indispensable services of such networks. However, in conventional networks…
View article
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm Open
Rescheduling is a necessary procedure for a flexible job shop when newly arrived priority jobs must be inserted into an existing schedule. Instability measures the amount of change made to the existing schedule and is an important metrics …
View article
Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications Open
This paper presents a survey on the applications of optimal control to scheduling in production, supply chain and Industry 4.0 systems with a focus on the deterministic maximum principle. The first objective is to derive major contribution…
View article
Variational Diffusion Models Open
Diffusion-based generative models have demonstrated a capacity for perceptually impressive synthesis, but can they also be great likelihood-based models? We answer this in the affirmative, and introduce a family of diffusion-based generati…
View article
Neural Network Approach for Estimating State of Charge of Lithium-Ion Battery Using Backtracking Search Algorithm Open
The state of charge (SOC) is a critical evaluation index of battery residual capacity. The significance of an accurate SOC estimation is great for a lithium-ion battery to ensure its safe operation and to prevent from over-charging or over…
View article
Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 Open
Wake steering is a form of wind farm control in which turbines use yaw offsets to affect wakes in order to yield an increase in total energy production. In this first phase of a study of wake steering at a commercial wind farm, two turbine…
View article
An Integrated IoT Architecture for Smart Metering Open
(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works f…
View article
Spatial Deep Learning for Wireless Scheduling Open
The optimal scheduling of interfering links in a dense wireless network with full frequency reuse is a challenging task. The traditional method involves first estimating all the interfering channel strengths then optimizing the scheduling …
View article
Optimal Coverage Multi-Path Scheduling Scheme with Multiple Mobile Sinks for WSNs Open
Wireless Sensor Networks (WSNs) are usually formed with many tiny sensors which are randomly deployed within sensing field for target monitoring. These sensors can transmit their monitored data to the sink in a multi-hop communication mann…
View article
Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning Open
We propose a framework to learn to schedule a job-shop problem (JSSP) using a graph neural network (GNN) and reinforcement learning (RL). We formulate the scheduling process of JSSP as a sequential decision-making problem with graph repres…
View article
Cyclical Multiple Access in UAV-Aided Communications: A Throughput-Delay Tradeoff Open
This letter studies a wireless system consisting of distributed ground\nterminals (GTs) communicating with an unmanned aerial vehicle (UAV) that serves\nas a mobile base station (BS). The UAV flies cyclically above the GTs at a\nfixed alti…
View article
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem Open
Distributed permutation flowshop scheduling problem (DPFSP) has become a very active research area in recent years. However, minimizing total flowtime in DPFSP, a very relevant and meaningful objective for today's dynamic manufacturing env…
View article
Integrated PV Charging of EV Fleet Based on Energy Prices, V2G, and Offer of Reserves Open
Workplace charging of electric vehicles (EV) from photovoltaic (PV) panels installed on an office building can provide several benefits. This includes the local production and use of PV energy for charging the EV and making use of dynamic …
View article
Population Based Training of Neural Networks Open
Neural networks dominate the modern machine learning landscape, but their training and success still suffer from sensitivity to empirical choices of hyperparameters such as model architecture, loss function, and optimisation algorithm. In …
View article
Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems Open
In the past decades, many optimization methods have been devised and applied to job shop scheduling problem (JSSP) to find the optimal solution. Many methods assumed that the scheduling results were applied to static environments, but the …
View article
Use of a 2-Dose Schedule for Human Papillomavirus Vaccination—Updated Recommendations of the Advisory Committee on Immunization Practices Open
This report updates the schedule for the human papillomavirus vaccine and includes specific recommendations for transplant recipients. This report updates the schedule for the human papillomavirus vaccine and includes specific recommendati…
View article
Digital Transformation and Strategy in the Banking Sector: Evaluating the Acceptance Rate of E-Services Open
Digital transformation in the banking sector is a continuous process that affects both the external and internal environment by redesigning internal processes and existing methods. There are many reasons that digital transformation takes p…