PPLIO: Plane-to-Plane LiDAR-Inertial Odometry With Multi-View Constraint in Real-Time by Hanyeol Lee, Jae Hyung Jung, Won Young Chung, Suyong Lee, Chan Gook Park

“…For detailed verification, we conduct the Monte-Carlo simulation to evaluate the feature accuracy and the data association. In addition, we perform comparative evaluation against state-of-the-art LIO/LIO-mapping algorithms on both indoor and outdoor experiments, and present results that PPLIO outperforms other real-time algorithms in localization performance with detailed analysis.…”
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Exploring opportunities and challenges of Blockchain-Based Electronic Medical records by Peyman Akhavan, Ebrahim Mahmoudzadeh, Maedeh Rahimi, Lila Rajabion

“…This research suggests that the use of Blockchain in electronic medical files can reduce extra costs, create a comprehensive system for medical records to avoid additional costs, facilitate access to patient information, and reduce medical errors. The results obtained reveal that the components of immutability and the impossibility of data forgery of patient records (based on data integration in Blockchain) have the most impact on the system. …”
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From single to multiple assessments in a foundational mathematics course for engineering students: what do we gain? by Yusuf Feyisara Zakariya, Yusuf Feyisara Zakariya, Morten Tellenes Berg, Thomas Gjesteland, Ramatu Ematum Umahaba, Mukhtar Oluwafemi Abanikannda

“…We explored students' perceptions of the reformed assessment regarding their learning approaches, motivation, and the overall experience.MethodsWe generated the data using semi-structured interviews of purposively selected engineering students and analyzed the data using thematic analysis.ResultsThe results showed that the multiple attempts on the examinations promoted consistent studying and reduced test anxiety. …”
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Calibration of Two X-Band Ground Radars Against GPM DPR Ku-Band by Eleni Loulli, Silas Michaelides, Johannes Bühl, Athanasios Loukas, Diofantos Hadjimitsis

“…The consistency of the wet hydrological year October 2019 to September 2020 suggests that radar calibration results are prone to differences in meteorological conditions, as scarce rainfall can result in insufficient data for reliable calibration. Future work will incorporate disdrometer measurements and extend the analysis to quantitative precipitation estimation.…”
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Identification of Leakage Points and Evaluation of Leakage Parameters Based on Photoelectric Absorption Cross-Section Index by SUN Yuhong, ZHANG Zhihu, XU Jingkang, TAN Weixiong, ZHANG Hao, ZHANG Lei

“…Field applications in several major oil fields in the Bohai area have shown that the calculated leakage rate and amount using the photoelectric absorption cross-section index have relatively small errors compared to the actual data provided on site. …”
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Continuous-flow phosphate removal using Cry-Ca-COS Monolith: Insights from dynamic adsorption modeling by Chanadda Phawachalotorn, Worawit Wongniramaikul, Satabodee Kaewnoo, Aree Choodum

“…An analysis of comprehensive errors was also conducted to assess the adequacy and precision of the model equations.…”
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Mitigating Container Damage and Enhancing Operational Efficiency in Global Containerisation by Sergej Jakovlev, Tomas Eglynas, Mindaugas Jusis, Valdas Jankunas, Miroslav Voznak

“…This paper also highlights the importance of integrating sway control systems with existing crane management technologies to assist operators in reducing handling errors. Enhanced monitoring and data analysis are essential for improving container handling processes, supporting sustainable growth in global containerisation, and mitigating financial risks.…”
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Implementing Supply Chain Management 4.0: Potential Driving Forces and Strategies From an Empirical Study of Pharmaceutical Industries by Ismail W. R. Taifa, Johnson Subby Nzowa

“…ABSTRACT This study investigates the potential driving forces and strategies for implementing supply chain management 4.0 (SCM 4.0) in pharmaceutical manufacturing industries (PMIs). Pertinent data were collected from 111 related companies using a mixed‐methods research approach. …”
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Comorbidities in Psoriasis, Cross-Sectional Study in Western Nepal by Binamra Basnet, Ajay Kumar, Shreyasha Khadka

“…This is an observational cross sectional prospective study. For the qualitative data, Chi-square test was used and for quantitative data analysis Student’s t test was used.  …”
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Formalized approaches to assessing the usability of the user interface of web applications by B.M M. Basok, S. L. Frenkel

“…The application of the approach described in the paper, along with traditional methods of testing the usability of UI, will increase the overall level of usability of applications, and thereby reduce the cost of identifying and correcting related errors.…”
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Pavement damage decay performance of ordinary national and provincial trunk lines by Jianguo Rong, Xiaodong Sha, Zongjun Pan, Hai Zhang

“…Utilizing advanced data classification and statistical induction techniques, the study delves into the decay performance of the Pavement Condition Index (PCI). …”
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Federated Deep Learning for Scalable and Explainable Load Forecasting in Privacy-Conscious Smart Cities by Ibrahim Alzamil

“…Functional modules such as Dynamic Temporal Refinement (DTR) and Multi-Stage Adaptive Feature Selection (MSAFS) enable adaptive temporal modeling and feature prioritization across non-IID client data. Evaluation on real-world smart grid datasets demonstrates that HHCTE-FL consistently surpasses 12 benchmark methods, attaining 98.7% accuracy, with the lowest forecast errors (MAE: 0.081, RMSE: 0.114). …”
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Transient Stability-Based Fast Power System Contingency Screening and Ranking by Teshome Lindi Kumissa, Fekadu Shewarega

“…Based on the most current snapshot from Supervisory Control and Data Accusation (SCADA) data, the proposed method triggers AsDTM-based transient stability simulation for each credible contingency and evaluates Transient Stability Indices (TSI) as the normalized weighted sum of squares of errors derived from state variables and complex bus voltages at every simulation time step. …”
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Evaluation of Science Education for Students with Visual Impairment: Views of Teachers and Administrators by Hikmet Sürmeli, Aydın Sellioğ

“…Content analysis was used to analyse the data.Findings: The findings showed that the content of the curriculum was prepared intensively, the course duration was insufficient and the acquisitions were too many, teaching materials for many senses should be prepared and there were printing errors in the textbooks. …”
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A Methodical Review of Iridology-Based Computer-Aided Organ Status Assessment Techniques by Suja Alphonse, Ramachandran Venkatesan, Theena Jemima Jebaseeli

“…Computer vision and deep learning make this task more accurate and are widely used in many applications, mainly in diagnosing diseases. The methodologies, data acquisition source, and volume of data used for both training and testing in the pre-diagnosis of human organs utilizing iris patterns are thoroughly studied. …”
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Chemical Thermodynamics and Calculation of Parameters of Ionic Equilibria of Indium(III) in Perchlorate, Chloride and Sulphate Aqueous Solutions by S. A. Ukhov

“…On the basis of the numerical critical analysis of the available literature experimental data, with employment of the SIT, thermodynamic formation (stability) constants of chloro-, sulfato-aqua-complexes and hydrolysis constants of indiumfII) and related specific interaction coefficients (“non-ideality” parameters) in acidic aqueous solutions (pH < 5.5) at ambient temperature (20-25 °C) are calculated. …”
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Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management by Vikram Pasupuleti, Bharadwaj Thuraka, Chandra Shikhi Kodete, Saiteja Malisetty

“…<b>Methods</b>: This study leverages advanced machine learning (ML) techniques to enhance logistics and inventory man-agement. Using historical data from a multinational retail corporation, including sales, inventory levels, order fulfillment rates, and operational costs, we applied a variety of ML algorithms, in-cluding regression, classification, clustering, and time series analysis. …”
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The Integration of Artificial Intelligence in In Vitro Fertilization: A Comprehensive Narrative Review by Akash More, Vilas Chimurkar, Sanket Mahajan, Sudhanshu Dakre, Namrata Anjankar, Deepali More

“…On the ethical front, AI enhances matters of ownership, data protection, and patient safety through all these processes. …”
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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework by Abbas Ali Hussein, Morteza Valizadeh, Mehdi Chehel Amirani, Sedighe Mirbolouk

“…As a result, Computer-Aided Design (CAD) systems have become increasingly popular due to their ability to operate independently of human analysis. Current CAD systems use grayscale analysis, which lacks the contrast needed to differentiate benign from malignant lesions. …”
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Evaluating the Potential to Quantify Salmon Habitat via UAS‐Based Particle Image Velocimetry by Lee R. Harrison, Carl J. Legleiter, Brandon T. Overstreet, James S. White

“…Abstract Continuous, high‐resolution data for characterizing freshwater habitat conditions can support successful management of endangered salmonids. …”
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