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The article focuses on advancing material science through the study of two-dimensional (2D) materials synthesized via chemical vapor deposition (CVD). Topics include the challenges in evaluating the quality of CVD-grown materials using optical microscopes and the application of reinforced active learning (RAL) to streamline this process.

The article focuses on Artificial intelligence (AI) advancements in battery management for residential solar users to improve the efficiency of photovoltaic (PV) battery systems. Topics include the development of an AI model for dynamic battery charge/discharge cycles under uncertain weather conditions, reducing long-term electricity costs by 45 present for individual households.

The first article discusses the cost-effectiveness of inventory pooling, comparing physical pooling (moving boxes) to information pooling (moving bits and bytes). The authors found that information pooling is less costly as long as transshipment costs are no more than five times physical pooling costs. It also mentions a study on how a retailer can optimize all three critical pricing, assortment, and inventory decisions concurrently using the commonly observed nested logit choice of customers.

The article discuses two research articles in Institute of Industrial and Systems Engineers (IISE) Transactions. It is reported that the first article demonstrates the merit of a novel strategy based on trucks and drones cooperative delivery and the second article considers the problem of planning safety stocks in a supply chain. It is further reported that these articles will be published in the March 2023 issue of IISE Transactions.

The article focuses on the inventory management policy proposed by the paper Quantity-Based Emergency Shipment Policies," and mentions quantity-based proposed emergency order. Topics discussed include agricultural disruption due to war in Ukraine causing uncertainty for farmers, challenges faced by environmental sustainability of the industry, and influence of the insurance programs on adoption of benefit practices of the environment.

The article discusses a classical interdiction problem involving a defender and an attacker seeking a shortest path to a critical location. Topic include It explores how network interdiction studies provide insights into developing more robust defense strategies against adversarial threats in various fields such as homeland security, cybersecurity, transportation, and supply chain management.

The article presents questions and answers related to hurricane relief work and electronic commerce retailers including ways to reduce damage from future hurricanes, electronic-commerce retailers adopting strategies from car manufacturing companies, human factors, and ergonomics knowledge for an organization.

The article focuses on enhancing efficiency in rail yard operations, addressing the complexities of routing locomotives and connected cars through the yard. Topics include the unique constraints of the shortest route problem in rail yards, the polynomial solvability for a significant network class, and the potential implications for improving yard simulations and enabling automated precise movements.

The article informs that the global COVID-19 pandemic demonstrated the importance of an efficient and rapid PCR testing and diagnostic process. It also highlighted the many logistical and operational challenges that arise when testing resources are limited. It also discusses finding of the research paper "An Indirect Prioritization Approach to Optimizing Sample Referral Networks for HIV Early Infant Diagnosis."

The article highlights research related to industrial and systems engineering in 2022. Topics discussed include an analytical method to study the flow time in collaborate assembly systems with collaborative robots (cobots), statistical procedures to estimate the mean lifetime of highly reliable products when the degradation measurements are related to time, and role of return on investment (ROI) and the return on equity (ROE) in correct investment decision.

The article reports that patients who undergo surgery often have a clinical appointment with the surgeon to identify whether the procedure is appropriate for them. If the surgeon and the patient mutually decide to proceed with surgery during the clinical appointment. Topics include accommodate patients' scheduling preferences and to mitigate against long delays between the decision and the surgery; and patients will need surgery after their clinical appointments.

The article reports that emerging trend of using digital technologies, digital twins play a crucial role for monitoring and testing the performance of actual systems in many applications. Topics include discuss how to strike a balance between exploration and replication for effectively running digital twins; and the black-box computer model is computationally demanding with variance reduction techniques.

The article focuses on additive manufacturing (AM), sensor-based, online process monitoring techniques have played a critical role in meeting the ever-increasing demands on product complexity and accuracy. Topics include the real-time data captured by the fast improving sensor technologies usually have high dimensions, and the challenge posed to the engineers is that of how to extract the critical information from the sensor data accurately and efficiently.

The article focuses on Institute of Industrial and Systems Engineers (IISE) Transactions showing how industrial and systems engineering methods and tools can advise and impact real-world operations. Topics include the line of research was a response to the needs in airport security after the September 11, 2001, terrorist attack, and the efficiency of handling large volumes of passengers and the effectiveness in stopping the true perpetrators from getting through security checkpoints.

The article highlight two articles from Institute of Industrial & Systems Engineering (IISE) Transactions in which the first article investigates how to assess the reliability of a failure time prediction from some black-box, deep-learning prognostic models; and the second article contemplates a question commonly encountered in engineering practice, which is how to calibrate a computer simulation model to match the physical reality.

The article focuses on achieving operational excellence in attended home healthcare (AHH) services. It addresses challenges like scheduling complexity in a metropolis, and balancing cost-efficiency while offering insights into continuity-skill-restricted scheduling and routing problems, proposing a mixed integer programming solution, and providing managerial guidance for efficient homecare personnel dispatching.

The article discusses two research papers published in the July 2023 issue of IISE Transactions. The first paper examines the use of friction stir welding in a hybrid additive and subtractive manufacturing process for aluminum injection molds. The authors conclude that with proper modification of the welding tool, friction welded joints can retain strength. The second paper proposes an integrated torrefaction and pelletizing process enabled by ultrasonic vibration to improve the energy density.

The article offers information about the trade-off of performance evaluation and employee satisfaction, along with mentions the importance of data sharing in the parking industry in U.S. It discusses that U.S. Army implements a People First strategy evaluating how it promotes talent through the ranks to positions of higher responsibility.

A review of the articles "A Calibration-Free Method for Biosensing in Cell Manufacturing," "Cycle Time Calculation of Shuttle-Lift-Crane Automated Storage and Retrieval System," and "Evaluation of Fatigue and Workload Among Workers Conducting Complex Manual Assembly in Manufacturing" is presented.

The article provides information on several articles published in "IISE Transactions" and "The Engineering Economist." Topics of articles include the early detection of process deterioration in manufacturing, how new information impacts real options analysis and a methodology for assessing the economic value of installing green roofs and walls in public buildings particularly primary schools.

The article discusses research which investigates the use of tailored, optimization-based clustering of frequency data to reduce the spread of infectious disease outbreaks. The study describes a reformulation scheme that enables the construction of a polynomial-time algorithm. Emphasis is given on the need to cluster the population into risk categories to enable the construction of custom screening approaches.

The article discusses research on a wearable dialysis device being developed at the University of Washington's (UW) Center for Dialysis Innovation (CDI) that could transform current dialysis therapies by allowing end stage renal disease (ESRD) patients to undergo continuous dialysis. Emphasis is given on the application of user-centered design principles in designing wearable dialysis device. The study found similarities in preferences for the design of wearable dialysis device.

The article discusses research by Renato de Matta of the University of Iowa College of Business which examines how the diversity in experience level of surgeons complements a surgical unit to improve patient outcomes. An overview of the optimization model that improves total patient value is provided. Practical applications of the model include planning the mix of patients in residency programs at teaching hospitals and hospitals that accept diagnosis-related groups based on reimbursements.

The article attempts to provide an understanding of the possible effects of spot market competition versus public-private partnership in terms of consumption and economic welfare for providing water services. The researchers examines the association of spot market competition to water supply and prices. The study refers to increased distribution cost and regulated price as factors that diminish the differences between spot market and public-private partnership.