Review
Biochemistry & Molecular Biology
Serena Ceddia, Lorenza Landi, Federico Cappuzzo
Summary: This review analyzes the latest research progress on KRAS mutations in non-small-cell lung cancer, describes the biological structure of KRAS, and explores its clinical relevance as a prognostic and predictive biomarker. In addition, this article reviews different treatment approaches for KRAS-mutant lung cancers, with a focus on novel therapeutic strategies.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Transportation Science & Technology
Haizheng Zhang, Ravi Seshadri, A. Arun Prakash, Constantinos Antoniou, Francisco C. Pereira, Moshe Ben-Akiva
Summary: Simulation-based Dynamic Traffic Assignment models have important applications in real-time traffic management and control. This paper addresses challenges in online calibration using the Extended Kalman Filter (EKF) for large and congested networks, proposing methods to improve accuracy and scalability. By revisiting the concept of state augmentation and introducing a graph-coloring method, enhancements in prediction accuracy and computational performance were demonstrated through experiments and a case study.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Mathematical & Computational Biology
Mingyang Liu, Junhao Han, Yushan Mei, Yuguang Li
Summary: This paper studies the equilibrium problem of urban taxis and proposes a dynamic balancing algorithm that efficiently handles the equilibrium of supply and demand under dynamic trip demands. It detects the density of trip demands and uses a merging strategy to achieve balance. A lazy correlation strategy and a defined balance factor are employed for scheduling. The proposed approach is validated and shown to be effective and scalable.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Chemistry, Analytical
Zijia Wang, Zhixiang Chen, Youyin Shi, Liping Huang
Summary: This study proposes a framework for exploring the evolutionary features of urban rail transit systems and their distinct function in contrast to other transit modes, with a focus on the impact on work-residence separation. Through a case study of the Beijing Subway System and the use of fractal approaches, the differences between network characteristics are investigated, and comparisons with population distribution and urban mobility are made to reveal the relationship between residents' travel demand and traffic supply. The main finding emphasizes the importance of considering demand when analyzing fractal features of transport networks and highlights the role of rail transit in work-home imbalance in the context of urban mobility for an entire city.
Article
Engineering, Environmental
Mehdi Azadi, Eleonore Lebre, Saleem H. Ali, John Steen, Frances Wall
Summary: The low-carbon energy transition is driving the global demand for metals, especially for energy storage and battery metals. The International Energy Agency predicts a significant increase in utility-scale battery storage installation and electric vehicle battery demand in the next two decades, leading to a 30-fold increase in overall metal demand. However, sourcing metals from conventional mines may pose challenges, and estimates of primary supply do not consider technical and ESG challenges. Therefore, it is important to understand future demand for battery metals and assess the impact of technology development and alternative factors on demand scenarios.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Green & Sustainable Science & Technology
Francesco Russo, Giuseppe Fortugno, Marco Merante, Domenica Savia Pellicano, Maria Rosaria Trecozzi
Summary: Demand models rely on user and network attributes, as well as parameters, to estimate choices accurately. Traffic counts can be used to update demand values and recalibrate parameters, as demonstrated in this paper using passenger counts to update airport demand.
Review
Cell Biology
Atef Badji, Jessica Youwakim, Alexandra Cooper, Eric Westman, Anna Marseglia
Summary: This narrative review provides an evidence-based summary of the link between individual vascular risk/disorders and cognitive dysfunction, as well as the potential structural and biochemical pathophysiological processes. It highlights the need for future research to focus on comorbid vascular burden, integrate imaging and fluid biomarkers, implement a life-course approach, consider neuroprotective influences of positive life exposures, and address biological sex at birth and gender differences.
AGEING RESEARCH REVIEWS
(2023)
Review
Ecology
Adrien Comte, C. Sylvie Campagne, Sabine Lange, Adrian Garcia Bruzon, Lars Hein, Fernando Santos-Martin, Harold Levrel
Summary: This study conducts a systematic literature review on ecosystem accounting to analyze the evolving trends and challenges. The results show the diversity in concepts, methodologies, and applications in ecosystem accounting, with the United Nations System of Environmental-Economic Accounting (SEEA) being the most widely used framework. Future work should focus on implementation issues, methodological advancements, data improvement, collaborations, and supporting the use of ecosystem accounts in decision-making.
ECOSYSTEM SERVICES
(2022)
Review
Engineering, Biomedical
Xiaolian Niu, Ning Li, Zhipo Du, Xiaoming Li
Summary: This review discusses the challenges and current efforts in the field of tissue engineering for osteochondral defect repair, with a focus on establishing satisfactory integrated gradient tissue-engineered osteochondral scaffold (IGTEOS) and achieving simultaneous regeneration of both cartilage and subchondral bone.
BIOACTIVE MATERIALS
(2023)
Article
Automation & Control Systems
Tianyang Zhao, Haoyuan Yan, Xiaochuan Liu, Zhaohao Ding
Summary: The electrification of vehicles has strengthened the interaction between power systems and transportation systems, resulting in the formation of coupled transportation power systems (CTPSs). A novel optimal traffic power flow (OTPF) problem is proposed to analyze the spatial and temporal congestion propagation on CTPSs. This problem considers congested roads, transmission lines, and charging stations. The spatial and temporal distribution of electric vehicles (EVs) on roads and charging stations, connected by multilayer time-space networks (TSNs), is used to depict the traffic flow. The distribution is obtained by optimizing the charging, discharging, routing, and origin-destination pairing of EV fleets on TSNs, while the power flow is captured using dynamic optimal power flow problems with security constraints. An algorithm combining the alternating direction multiplier method with the convex-concave procedure is proposed to solve OTPFs. The results validate the effectiveness of the proposed scheme for managing congestion on CTPSs.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Review
Plant Sciences
Saurabh Prakash Pandey, Ruben M. Benstein, Yanwei Wang, Markus Schmid
Summary: Plants have evolved intricate signaling pathways to perceive and respond to temperature, unlike animals who can avoid unfavorable conditions. While general acclimation processes occur throughout the whole plant, specific temperature responses are limited to certain tissues or cell types. Epigenomic analyses have been successful in understanding global responses, but more localized responses pose challenges due to inaccessibility of relevant chromatin. More research with higher spatiotemporal resolution is needed for future analyses.
JOURNAL OF EXPERIMENTAL BOTANY
(2021)
Article
Cardiac & Cardiovascular Systems
Alexander A. Brescia, Xiaoying Lou, Clauden Louis, David Blitzer, Garrett N. Coyan, Jason J. Han, Justin J. Watson, J. Hunter Mehaffey
Summary: TSRA is a resident-led organization established to represent the interests and educational needs of cardiothoracic surgery residents. They have published educational resources, organized activities, and established a presence on social media platforms to provide resources and opportunities for trainees.
JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
(2021)
Article
Engineering, Aerospace
Fabiola Colone, Francesca Filippini, Debora Pastina
Summary: From the Daventry Experiment in 1935 to the present day, passive radar technology has undergone significant development and expanded its range of applications to advanced and complex scenarios. This article explores the relevant applications and strategies for addressing challenges, demonstrating the feasibility through real-world data. Finally, it discusses the current trends and outlooks for this technology based on the open issues and challenges.
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE
(2023)
Article
Transportation Science & Technology
Xavier Ros-Roca, Lidia Montero, Jaume Barcelo, Klaus Noekel, Guido Gentile
Summary: Dynamic traffic models require dynamic inputs, one of which is the Dynamic Origin-Destinations (OD) matrices. This paper proposes a new constrained non-linear optimization model to estimate the OD matrices using recorded commercial data, eliminating the need for a bilevel iterative process and traffic assignment. The performance of the model is validated and computational results are presented.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Review
Agronomy
David Zilberman, David Laird, Coleman Rainey, Jie Song, Gabriel Kahn
Summary: This paper provides an overview of the benefits, potential demand, and supply chain characteristics of biochar, and identifies opportunities for its viable introduction. Biochar can enhance agricultural productivity, improve soil functioning, contribute to climate change mitigation through carbon sequestration, and provide additional fire prevention benefits. The cost of biochar system depends on the costs of feedstock acquisition, transportation, and processing, making it suitable for locations with marginal land and high-value crops.
GLOBAL CHANGE BIOLOGY BIOENERGY
(2023)
Article
Transportation
Seiran Heshami, Lina Kattan
Summary: Real-time queue length estimation and prediction using a case-based reasoning algorithm combined with a Kalman filter is proposed in this paper to effectively address traffic issues caused by queues extending from off-ramps onto main lanes of freeways. Simulation results show an accuracy of +/- 3.15 vehicles in queue length estimation within 60-second intervals.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Transportation
Bidoura Khondaker, Lina Kattan
Summary: This paper develops a novel anticipatory Variable Speed Limit (VSL) control strategy that incorporates driver behavior based on trajectory data from probe vehicles. The study aims to optimize speed limit controls to reduce lane changing and braking, thus improving traffic throughput, safety, and sustainability. Results show that the VSL strategy can lead to decreased lane changing rate and smoother acceleration and deceleration patterns, resulting in lower emissions and fuel consumption.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Civil
Lin Wang, Steven Chien, S. Chan Wirasinghe, Lina Kattan
Summary: This paper presents a mathematical model to optimize zonal demand responsive transit (DRT) considering heterogeneous environment and the advent of Mobility-as-a-Service (MaaS). The model takes into account various factors such as community boundary, land use, demand distribution, line-haul travel time, etc. Passengers with different expectations of vehicle arrival time are considered, and the average cost is minimized through optimizing service zone areas and associated headways. The model is applied to a real-world region in Calgary, Canada, and the impact of real-time vehicle arrival information is assessed. The sensitivity analysis explores the relationship between system parameters and the optimized solutions.
KSCE JOURNAL OF CIVIL ENGINEERING
(2022)
Article
Transportation Science & Technology
Merkebe Getachew Demissie, Lina Kattan
Summary: This study explores the interaction between land use and transit ridership at different levels using data from automated passenger count systems, General Transit Feed Specification, and land-use data. The results show that studying transit ridership at the bus stop level provides a better understanding of each stop's unique land use, while the zonal-level study reveals different trip generation and attraction roles of neighboring land use.
Article
Engineering, Civil
Ashok Kinjarapu, Merkebe Getachew Demissie, Lina Kattan, Robert Duckworth
Summary: This study explores the use of passive truck GPS data as a complement to traditional data collection methods to obtain detailed information about the travel behaviors of freight trucks. By developing a heuristic-based model to identify truck stops, classifying truck stops, and developing a destination choice model, useful insights into truck movements characterization and truck trip distribution modeling were gained.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Transportation
Karan Arora, Lina Kattan
Summary: This research introduces a novel intelligent transportation system control strategy, which delays and avoids traffic congestion through the dynamic use of Model Predictive Control (MPC) based Variable Speed Limit (VSL) and Hard Shoulder Running (HSR), achieving significant results.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation Science & Technology
Nadia Moshahedi, Lina Kattan
Summary: This paper presents a novel a-fair perimeter control (AFPC) scheme for optimizing the allocation of available resources and impacts in a multi-region urban network. The AFPC model considers the traffic dynamics and queuing dynamics at regional borders, and assigns weights dynamically based on regional average speed. The proposed AFPC approach achieves a balanced tradeoff between efficiency and fairness, outperforming other control scenarios in terms of fairness without degrading efficiency.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Transportation Science & Technology
Nadia Moshahedi, Lina Kattan
Summary: This paper develops a multi-reservoir dynamic network loading model for a large-scale urban road network, incorporating variational theory and LWR method to enhance the dynamics of the macroscopic fundamental diagram. The proposed model offers more realistic solutions by considering the dynamics of urban traffic signals. An evaluation of a hypothetical traffic network demonstrates the computational efficiency and realism of the model compared to previous ones. Additionally, the study analyzes the network-wide effect of introducing connected and autonomous vehicles into urban traffic networks.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Transportation Science & Technology
S. Esmaeilnejad, L. Kattan, S. C. Wirasinghe
Summary: This paper addresses the long-term planning and optimization problem of battery-electric bus charging station locations and charging duration, taking into account the stochasticity of ridership and battery performance. The study develops a linear deterministic optimization model and a two-stage stochastic programming approach to optimize passenger waiting time and costs. Results indicate that using the stochastic model can decrease travel time while increasing overall costs.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Transportation
K. W. Devasurendra, Saeid Saidi, S. C. Wirasinghe, Lina Kattan
Summary: This study explores the impact of the COVID-19 pandemic on public transport and proposes a methodology for setting transit line frequencies. The developed mathematical models consider both passenger costs and health risks associated with the pandemic, providing guidance for transit planners and operators in adapting operations during and after the pandemic.
TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES
(2022)
Article
Transportation
Nadia Moshahedi, Lina Kattan, Richard Tay
Summary: This paper proposes a network-wide anticipatory control framework that incorporates drivers' route choice behavior, optimizing traffic conditions through perimeter control and user equilibrium modeling, based on a macroscopic fundamental diagram approach. Numerical results demonstrate that the proposed AC outperforms no control and basic control cases, showing promising results in alleviating congestion and approaching near-system optimum traffic conditions under various demand patterns.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2021)
Review
Transportation
Mohammad Ansari Esfeh, S. C. Wirasinghe, Saeid Saidi, Lina Kattan
Summary: The cost of waiting time for passengers in a public transit network is a significant component of total transit travel cost, with the cost of a unit of waiting time being higher than that of riding time or access time. The assumption of half the headway as the mean waiting time is commonly used but may not always be realistic due to the presence of heterogeneous passengers and different types of transit services. Furthermore, many studies fail to clearly define the type of service and passenger, impacting the validity of assumed waiting times.
Article
Green & Sustainable Science & Technology
Mohammad Ansari Esfeh, Lina Kattan
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2020)
Article
Development Studies
Jason Hawkins, Lina Kattan, Joseph Patrick Hettiaratchi, Joshua Taron, Getachew Assefa
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2019)
Article
Remote Sensing
Suman Mishra, Lina Kattan, S. C. Wirasinghe
ACM TRANSACTIONS ON SPATIAL ALGORITHMS AND SYSTEMS
(2020)