The role of digital technologies in increasing the competitiveness of branded products by N. V. Kokoreva, S. A. Silina

“…The novelty of the research lies in identifying the role of the use of digital technologies in increasing the competitiveness of branded products and determining the conditions for their successful implementation to achieve the objectives of forming the competitive advantages of the company. …”
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Highly Stable and Active Pt/Nb-TiO2 Carbon-Free Electrocatalyst for Proton Exchange Membrane Fuel Cells by Shuhui Sun, Gaixia Zhang, Xueliang Sun, Mei Cai, Martin Ruthkosky

“…One of the major challenges lies in the development of an inexpensive, efficient, and highly durable and active electrocatalyst. …”
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Imagining a net-zero Teesside: actors, networks, and expectations in industrial decarbonisation megaprojects by Kyle S Herman, Marfuga Iskandarova, Benjamin K Sovacool

“…The main implication is that, should the technologies currently favoured by incumbent industry fail to perform, the expectations could play a double and contradictory role in net-zero transitions—by both motivating actors to legitimise decarbonisation technologies, yet blinding others to the significant challenges that lie ahead.…”
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City, cholera, and COVID: A reading mediated by religiosity and science by Carlos E. Flores-Rodríguez, Luis Fajardo-Velázquez, Rosa María López-Nanco

“…The relevance of the text lies in the fact that it offers a privileged testimonial position for understanding what was done and what was understood during a disruptive event like COVID-19 from a social and collective lens. …”
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An Improved Unscented Kalman Filter Applied to Positioning and Navigation of Autonomous Underwater Vehicles by Jinchao Zhao, Ya Zhang, Shizhong Li, Jiaxuan Wang, Lingling Fang, Luoyin Ning, Jinghao Feng, Jianwu Zhang

“…An estimation model for system noise, the adaptive Unscented Kalman Filter (UKF) algorithm was derived in light of the maximum likelihood criterion and optimized by applying the rolling-horizon estimation method, using the Newton–Raphson algorithm for the maximum likelihood estimation of noise statistics, and it was verified by simulation experiments using the Lie group inertial navigation error model. The results indicate that, compared with the UKF algorithm and the ARUKF, the improved algorithm reduces attitude angle errors by 45%, speed errors by 44%, and three-dimensional position errors by 47%. …”
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Robust Onboard Orbit Determination Through Error Kalman Filtering by Michele Ceresoli, Andrea Colagrossi, Stefano Silvestrini, Michèle Lavagna

“…The key advantage of the proposed approach lies in its ability to maintain orbit determination integrity even during GNSS signal outages or sensor failures. …”
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A Canadian Perspective on Systemic Therapy for Recurrent or Metastatic Nasopharyngeal Carcinoma by Anna Spreafico, Eric Winquist, Cheryl Ho, Brian O’Sullivan, Nathaniel Bouganim, Neil Chua, Sarah Doucette, Lillian L. Siu, Desiree Hao

“…This paper reviews the current systemic treatment landscape for r/m NPC in Canada, highlights unmet treatment needs for patients who are not candidates for curative therapy, and discusses the challenges and opportunities that lie in emerging therapies.…”
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COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings by Mohd Zulfaezal Che Azemin, Radhiana Hassan, Mohd Izzuddin Mohd Tamrin, Mohd Adli Md Ali

“…The strength of this study lies in the use of labels that have a strong clinical association with COVID-19 cases and the use of mutually exclusive publicly available data for training, validation, and testing.…”
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Deep Learning-Based Computer Vision Is Not Yet the Answer to Taphonomic Equifinality in Bone Surface Modifications by Lloyd Austin Courtenay, Nicolas Vanderesse, Luc Doyon, Antoine Souron

“…The concept of equifinality is a central issue in taphonomy, conditioning an analyst’s ability to interpret the formation and functionality of palaeontological and archaeological sites. This issue lies primarily in the methods available to identify and characterise microscopic bone surface modifications (BSMs) in archaeological sites. …”
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A Turner Syndrome Patient Carrying a Mosaic Distal X Chromosome Marker by Roberto L. P. Mazzaschi, Juliet Taylor, Stephen P. Robertson, Donald R. Love, Alice M. George

“…This case report has a phenotype that is largely discordant with previously published cases as it lies at the severe end of the Turner variant phenotype scale. …”
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Enhancing Gas Distribution Network Resilience Utilizing a Mixed Social Network Analysis-Simulation Approach: Application of Artificial Intelligence by Mehrdad Agha Mohammad Ali Kermani, Negar Mohammadi, Hasan Ghasemi, Hadi Sahebi, Hani Gilani

“…A key advantage of this approach lies in its applicability as a consumer vulnerability mitigation strategy during high-demand scenarios, thereby reinforcing network robustness. …”
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Simulating the Effects of Noncrossing Block Sections Setting Rules on Capacity Loss of Double-Track Railway Line due to the Operation of out-of-Gauge Trains by Yinggui Zhang, Qiong-fang Zeng, Dingyou Lei, Xinyu Wang

“…Also, the NCBSs should lie at the nearest block sections (BSs) to depot stations and the NCBSs lengths should be as less as possible.…”
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Improve the Positioning Accuracy for Indoor Applications Based on Hyperbolic Method with Optimum Measurement by Noor N. Abed, Mahmood F. Mosleh, Faeza A. Abed, Ali A. Abdullah, Atta Ullah

“…The idea is to install 4TXs in the chosen case study building and select the best two reading of 2TXs lying on the same side of the square case study building among four values of RSS measured from the 4TXs. …”
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Analysis and Control of Rumor Propagation Model Considering Multiple Waiting Phases by Hai Wu, Xin Yan, Shengxiang Gao, Zhongying Deng, Haiyang Chi

“…Therefore, we propose a new SCWIR rumor propagation model (susceptible, commented, waited, infected, recovered) by introducing the user’s repeated waiting behavior to simulate the potential for rumors to lie dormant and spread opportunistically. First, we present the dynamic equations of the model, then introduce three influencing factors to improve the model. …”
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A Review on the Green Synthesis of Silver Nanoparticles and Their Morphologies Studied via TEM by Protima Rauwel, Siim Küünal, Stanislav Ferdov, Erwan Rauwel

“…Another important advantage of green synthesis methods lies in its cost-effectiveness and in the abundance of raw materials. …”
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Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“…It navigates through various ML methods utilized in healthcare, including Supervised Learning, Unsupervised Learning, Self-Supervised Learning, Deep Neural Networks, Reinforcement Learning, and Ensemble Methods. The challenge lies not just in the selection of an ML algorithm but in identifying the most appropriate one for a specific task as well, given the vast array of options available. …”
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Fabricating PCPDTBT/PC61BM organic solar cells using the PVD method by Or Gindi, Zeev Fradkin, Anat Itzhak, Sofiya Kolusheva, Peter Beker

“…The main scientific contribution of this manuscript lies in the application of the PVD method for fabricating PCPDTBT. …”
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Impact of Climate Change on Individuals with Autism and the Role of Renewable Energy by Georgiou Ioanna, Xekalakis Georgios, Parlalis Stavros

“…The importance of this research lies in its potential to guide effective adaptations in homes and policies to better support individuals with ASD amid climate challenges. …”
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Splicing Properties of Natural Fiber for Producing Yarns and Their Blends: A Review Paper by Mohamed Ben Hassen, Muhammad Awais, Faouzi Sakli, Saoussen Zannen, Mohammad Kanan

“…The effectiveness of splicing lies in the appearance and mechanical attributes. …”
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3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering by Taiyin Zhao, Yuehua Yue, Tian Chen, Feng Qian

“…The primary challenge of attribute conditioning lies in finding a concise structural representation that isolates only the true interpretive features while effectively removing noise and stratigraphic interference. …”
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