Enhanced socially oriented mission-based driving cycles generation and simulation framework for light electric vehicles by Petr Hajduk, Mikaela Ranta, Mehrnaz Farzam Far, Jenni Pippuri-Mäkeläinen, Joel Anttila, Mario Vukotić, Damijan Miljavec

“…Abstract Standard driving cycles are commonly used to assess vehicle performance and to design and optimize vehicle powertrains. However, these standard driving cycles lack some details, especially regarding slopes, curves, traffic variability, or weather conditions. …”
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Relationship of fat mass index and fat free mass index with body mass index and association with sleeping patterns and physical activity in Saudi young adults women by Alaa A. AlMasud, Shaima A. Alothman, Nada Benajiba, Seham Alqahtani, Afnan A. Alatr, Anfal A. Alshatowy, Ghadah E. Alenezy, Ghaida M. Alshahrani, Laylas A. Alhussain, Noha I. Alnashwan, Norah A. Alshimali, Nourah A. Alneghamshi, Nashmia M. Aljasser, Mashael A. Huwaikem

“…Sleep quality and duration were assessed using the Pittsburgh Sleep Quality Index, while physical activity was measured using an exercise vital sign tool. …”
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Inverse Kinematics for Robotic Manipulators via Deep Neural Networks: Experiments and Results by Ana Calzada-Garcia, Juan G. Victores, Francisco J. Naranjo-Campos, Carlos Balaguer

“…The performance of these models is compared, with a focus on curriculum learning to optimize training. The results demonstrate the potential of DNNs to efficiently solve the IK problem while avoiding issues such as singularities, competing with traditional methods in precision and speed.…”
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Platelet transfusion response in critically ill patients with thrombocytopenia: a retrospective study and predictive nomogram in a general ICU population by Hanyu Ge, Yanqing Liu, Tongyu Li, Rui Lv, Jieyi Wang, Wei You, Danni Song, Shilin Hu, Feng Zhao, Heng Fan, Dingfeng Lv

“…The established nomogram demonstrated strong predictive accuracy and may provide a practical tool for optimizing PT practices in the ICU.…”
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Mixed (combined) phenotype of the late stage of age-related macular degeneration by N. V. Neroeva, V. V. Neroev, M. V. Ryabina, A. G. Karmokova, O. A. Losanova

“…With multimodal visualization of the chorioretinal complex structures using modern research methods, it was possible to isolatea mixed, or combined, phenotype of the late stage of age-related macular degeneration (AMD). …”
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Comparative Study of Person Re-Identification Techniques Based on Deep Learning Models by Mossaab Idrissi Alami, Abderrahmane Ez-zahout, Fouzia Omary

“…Traditional distance-based methods, such as Euclidean and Cosine, struggle with challenges like posture variations and occlusions, limiting their effectiveness. …”
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Data aggregation impacts on built environment-mode share models around public transit stations by Seyed Sajjad Abdollahpour, Huyen T. K. Le, Ralph Buehler, Steve Hankey

“…Models using network buffers are less affected by data aggregation compared to those using circular buffers, Thiessen polygons, or administrative boundaries (block groups). In addition, the optimal buffer sizes for capturing BE effects and minimizing sensitivity to data aggregation for active and public transit modes are 800 meters for BRT stations and 1000 meters for rail stations, while 1200 meters is effective for private vehicle mode share at both rail and BRT stations. …”
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Road damage detection based on improved YOLO algorithm by Luyao Ma, Ming Chen

“…The dual-branch attention mechanisms enhance feature representation in channel and spatial dimensions, while the GIoU loss optimizes bounding box regression—yielding notable improvements, particularly in small object detection and bounding box localization accuracy. …”
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Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation by A. Srinivaas, N. R. Sakthivel, Binoy B. Nair

“…Fault diagnostics in internal combustion engines (ICEs) is vital for optimal operation and avoiding costly breakdowns. …”
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Comparative Evaluation of the Efficacy and Safety of Primary Trabeculectomy and Drug Therapy in Patients with Advanced Open-angle Glaucoma by S. U. Kasumov, G. Z. Abdulkadyrov, G. L. Gulmagomedova

“…The aim of the study was to evaluate the effectiveness and safety of primary trabeculectomy in comparison with drug therapy in patients with advanced open-angle glaucoma in order to determine the optimal approach to reducing intraocular pressure and maintaining the quality of life of patients.Materials and methods. …”
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Geostatistics and Artificial Intelligence Applications for Spatial Evaluation of Bearing Capacity after Dynamic Compaction by Rodney Ewusi-Wilson, Junghee Park, Boyoung Yoon, Changho Lee

“…The model with the least MAE and RMSE and the highest r2 is selected as optimal. The optimal RF (RFVD) model has an RMSE of 15.83 while out of the two geostatistical models considered OK recorded the lower RMSE of 22.62. …”
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Experiences in Activities and Psychological Resources of Students by Y.V. Trofimova, E.I. Marina

“…The <strong>results</strong> showed that the components of optimal experience (pleasure, sense) are positively associated with compassionate attitude towards oneself and self-control, while the experience of emptiness in activity is associated with emotional burnout and negative attitude towards oneself, especially in a situation of failure. …”
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Rough-and-Refine Model for Scene Graph Generation by Li Junliang, Lv Shirong, Li Wei

“…Specifically, the RRM model achieves R@20 = 23.8, R@50 = 29.1, and R@100 = 32.5, which are higher than the optimal values of other single-stage methods by 2.6, 1.6, and 2.4, respectively. …”
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FL-QNNs: Memory Efficient and Privacy Preserving Framework for Peripheral Blood Cell Classification by Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, Bhavani Sankar Panda, Hardik Doshi, Nafeesh Ahmad, Vivek Bhardwaj, Gaurav Sharma

“…Further FL-QNNs approach is used with these baseline models and achieved 98-99% accuracy and while optimizing memory, preserving data and resources. …”
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A Maximum Likelihood Calibration of the Tip of the Red Giant Branch Luminosity from High Latitude Field Giants Using Gaia Early Data Release 3 Parallaxes by Siyang Li, Stefano Casertano, Adam G. Riess

“…We present a maximum likelihood method designed to obtain an independent calibration of the brightness of TRGB using Gaia parallaxes from the Early Data Release 3 (EDR3) of Milky Way field giants at high Galactic latitude. …”
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Isolation, Characterization, and Preliminary Application of Staphylococcal Bacteriophages in Sichuan <i>Paocai</i> Fermentation by Xia Lin, Chunhui Deng, Luya Wang, Yue Shu, Shengshuai Li, Yunlong Song, Hong Kong, Ziwei Liang, Lei Liu, Yu Rao

“…In this study, three staphylococcal bacteriophages, ΦSx-2, ΦSs-1, and ΦSs-2, were isolated and purified from Sichuan <i>paocai</i> using the spot test method. The morphological features of the phages were characterized using transmission electron microscopy (TEM), while key biological properties such as one-step growth kinetics were systematically evaluated, ultimately verifying their taxonomic placement within the Caudoviricetes class. …”
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Long-term follow-up results of adult atrial septal defect population by Umit Yasar Sinan, Baris Guven, Hidayet Ozan Arabaci, Muhammed Furkan Deniz, Aybike Gul Tasdelen, Mehmet Serdar Kucukoglu

“…Atrial fibrillation (AF) was present in 13.0% of patients, while pulmonary arterial hypertension (PAH) was observed in 19.7%. …”
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Reliability，Validity and Agreement of the Short Form Modified Extended Barthel Index for Assessing Activities of Daily Living of Patients with Stroke by ZHANG Wenhao, SUN Ying, SHI Jiajia, SUN Yue, ZHANG Pingping, WANG Sainan, YU Jialing, SHEN Yueyi, CHEN Yun

“…ObjectiveTo construct a short form Modified Extended Barthel Index (MEBI), and to verify its reliability and validity in assessing activities of daily living (ADL) of patients with stroke and its agreement with MEBI.MethodsA total of 267 stroke patients from the Kunshan Rehabilitation Hospital were included. …”
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PENGARUH KECERDASAN EMOSI DAN KECERDASAN SPIRITUAL TERHADAP KINERJA PEGAWAI BALAI DIKLAT APARATUR KEMENTERIAN KELAUTAN DAN PERIKANAN by Yudistira Adi Nugroho

“…For research purposes, the method used in this study consists of descriptive and verification methods. …”
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ResT-IMU: A Two-Stage ResNet-Transformer Framework for Inertial Measurement Unit Localization by Yanping Zhu, Jianqiang Zhang, Wenlong Chen, Chenyang Zhu, Sen Yan, Qi Chen

“…During training, the RMSE loss is used to optimize velocity prediction, while the cosine similarity loss is employed for direction prediction. …”
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