3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning by Minho Cho, Euntai Kim

“…Current MOT methods typically employ a Tracking-by-Detection(TbD) approach, where objects are detected in each frame and matched across frames. …”
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A smart pen prototype with adaptive algorithms for stabilizing handwriting tremor signals in Parkinson’s disease by Jéssica Cristina Tironi, Anita Fernandes, Renata Coelho Borges, Luis Augusto Silva, Wemerson Delcio Parreira

“…Simulation results revealed that although the RLS algorithm achieved the lowest mean square error, the Kalman Filter converged approximately eight times faster, a finding that was confirmed through microcontroller tests and further validated on an orbital shaking table under constant and variable tremor conditions. …”
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Recent advances in journal bearings: wear fault diagnostics, condition monitoring and fault diagnosis methodologies by Nazik Jebur, Wafa Soud

“…Despite these remarkable advancements, challenges persist due to the lack of uniform evaluation criteria and the focus on specific error types under particular operating conditions. …”
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Daily Rainfall Patterns During Storm “Daniel” Based on Different Satellite Data by Stavros Kolios, Niki Papavasileiou

“…This finding confirms the realistic detection and monitoring of the different satellite-based rainfall products, which should be used for early warning and decision-making regarding potential flood events.…”
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Comparative Analysis and Optimal Selection of Calibration Functions in Pure Rotational Raman Lidar Technique by Yinghong Yu, Siying Chen, Wangshu Tan, Rongzheng Cao, Yixuan Xie, He Chen, Pan Guo, Jie Yu, Rui Hu, Haokai Yang, Xin Li

“…Conclusions based on the simulation results are validated with actual data, and the factors influencing calibration errors are discussed. Utilizing these findings to guide CF selection can enhance the accuracy and stability of PRR lidar detection.…”
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Impact Evaluation of DME Beacons on BeiDou B2a Signal Reception Performance by Yicheng Li, Jinli Cui, Zhenyang Ma, Zhaobin Duan

“…The results demonstrate that the effective <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>C</mi><mo>/</mo><msub><mi>N</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula> of the B2a signal degrades by up to 3.25 dB, the detection probability decreases by 33%, and the carrier tracking errors and BER increase by 2.57° and 5.1%, respectively, in worst-case interference scenarios. …”
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Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…Although we trained on tiny datasets our method achieves excellent segmentation quality and is even able to detect prostate cancer. Our method to combine the two datasets reduces segmentation errors and increases data variety. …”
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Nitrate Nitrogen Quantification via Ultraviolet Absorbance: A Case Study in Agricultural and Horticultural Regions in Central China by Yiheng Zang, Jing Chen, Muhammad Awais, Mukhtar Iderawumi Abdulraheem, Moshood Abiodun Yusuff, Kuan Geng, Yongqi Chen, Yani Xiong, Linze Li, Yanyan Zhang, Vijaya Raghavan, Jiandong Hu, Junfeng Wu, Guoqing Zhao

“…Standard solutions and soil samples were used to compare the detection performance of different wavelength pairs. …”
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Evaluating career self-awareness instruments for victims of violence using the Rasch model by Mamat Supriatna, Dodi Suryana, Megga Nur Anzhali, Amelia Mohd Noor

“…Data were analyzed using the Rasch model and Winsteps 3.73 application, Rasch model procedures and criteria are unidimensionality, person instrument analysis and item reliability, person item map, item difficulty, item fit, rating scale diagnostics, and item bias detection. Results The significance of the research findings is assessed based on unidimensionality in the “good” category, Analysis based on Andrich’s threshold shows the score increased to the appropriate level, Cronbach alpha value represents the interaction between person and item in the good category, and the person reliability value is 0.89 while the item reliability is 0.98. …”
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Accuracy of Vegetation Height and Terrain Elevation Derived from Terrestrial Ecosystem Carbon Inventory Satellite in Forested Areas by Zhao Chen, Sijie He, Anmin Fu

“…Our analysis revealed that TECIS-derived ground and canopy height estimates exhibited mean errors of 0.7 m and −0.35 m, respectively, with corresponding root mean square error (RMSE) values of 3.83 m and 2.70 m. …”
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Examining academic integrity policy and practice in the era of AI: a case study of faculty perspectives by Rami Alsharefeen, Naji Al Sayari

“…Faculty demonstrated a preference for educative over punitive approaches while identifying workload constraints, insufficient institutional support, detection challenges, cultural leniency, and systemic limitations as barriers to policy enforcement. …”
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Erroneous Classification and Coding as a Limitation for Big Data Analyses: Causes and Impacts Illustrated by the Diagnosis of Clavicle Injuries by Robert Raché, Lara-Sophie Claudé, Marcus Vollmer, Lyubomir Haralambiev, Denis Gümbel, Axel Ekkernkamp, Martin Jordan, Stefan Schulz-Drost, Mustafa Sinan Bakir

“…<b>Conclusions</b>: Our findings indicate that diagnostic misclassification of clavicle fractures is common, particularly between medial and midshaft fractures, often resulting from errors in multiple categories. …”
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Concordance in diagnostic testing for respiratory pathogens of bighorn sheep by Daniel P. Walsh, E. Frances Cassirer, Michael D. Bonds, Daniel R. Brown, William H. Edwards, Glen C. Weiser, Mark L. Drew, Robert E. Briggs, Karen A. Fox, Michael W. Miller, Sudarvili Shanthalingam, Subramaniam Srikumaran, Thomas E. Besser

“…Results of diagnostic testing may also be called into question when investigators report different etiologies for disease outbreaks, despite similar clinical and pathologic findings. To evaluate reliability of diagnostic testing for respiratory pathogens of bighorn sheep (Ovis canadensis), we conducted a series of ring tests across 6 laboratories routinely involved in detection of Mycoplasma ovipneumoniae, Pasteurellaceae, lktA (the Pasteurellaceae gene encoding leukotoxin), and 3 reference laboratories. …”
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Current practices for assessing usability of novel point-of-care diagnostics for infectious diseases: a scoping review protocol by Claudia Denkinger, Sonjelle Shilton, Elena Ivanova Reipold, Seda Yerlikaya, Maria del Mar Castro, Horeya M Ismail, Carlos Alberto Montenegro-Quiñonez

“…Introduction Novel diagnostics, particularly point-of-care (POC) tests, play a crucial role in the early detection and management of infectious diseases, especially in resource-limited settings. …”
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Follow your “gut”—calling for colonoscopy in patients with upper gastrointestinal adenomas: a systematic review and meta-analysis by Hanyuan Xu, Kai Song, Yuelun Zhang, Chengzhen Lyu, Kun He, Wangyang Chen, Wei Chen, Dong Wu

“…Background: Early detection and removal of adenomas through colonoscopy significantly reduces colorectal cancer (CRC) incidence and mortality. …”
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Improving the Incident Management Process Based on a Use Case Approach by A. A. Mikryukov, A. V. Kuular

“…The article considers the process approach to incident management in case of technical failures and its main stages: detection, response, investigation, elimination, resolution. …”
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Automated Extraction of Pipe Geometry Using SAM for Mixed Reality Inspection Tasks by S. Einizinab, S. Einizinab, K. Khoshelham, K. Khoshelham, S. Winter, P. Christopher, P. Christopher

“…The results indicate that the use of five-point prompts in a uniform distribution achieves approximately 90% precision and recall for pipe segmentation, with median position and diameter errors of 33 mm and 10 mm, respectively. The findings highlight the ability of the MR system to achieve accurate pipe positioning and diameter estimation, particularly in pipe networks with moderate complexity and fewer thin pipes, where segmentation and measurement challenges are minimized.…”
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Leveraging Open-Source Tools to Analyse Ground-Based Forest LiDAR Data in South Australian Forests by Spencer O’Keeffe, Bruce H. Thomas, Jim O’Hehir, Jan Rombouts, Michelle Balasso, Andrew Cunningham

“…Results showed that stratified tool selection, optimized for each forest development stage, achieved high accuracy for inventory, achieving stem detection rates up to 99.1% and errors as low as 0.94 m for height and 1.18 cm for diameter at breast height (DBH) in specific cases. …”
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COMPUTATIONAL THINKING IN THE PROBLEM OF RELIABLE AND SECURE DATA TRANSMISSION OVER A COMMUNICATION CHANNEL by Kirill V. Agievets, Andarbek Z. Ahmadov, Grigory A. Ivanenko, Mikhail A. Ivanov, Mikael A. Kondakhchan, Andrey V. Starikovsky

“…There are three problems that have to be solved when transmitting data over communication channels: detection and correction of errors caused by interference in communication channels; ensuring of transmitted data privacy; protection against injection of false data. …”
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Revisiting the Chemical Composition of WD 1145+017: Impact of Circumstellar Disk Contamination on Photospheric Abundances by Érika Le Bourdais, Patrick Dufour, Siyi Xu

“…At 16 elements, WD 1145+017 ties GD 362 as one of the most polluted white dwarfs in terms of the number of elements detected. We find that both the disk and photosphere compositions align, to first order, with CI Chondrite. …”
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