Multi-Area Sampling-Based Spatiotemporal Trajectory Planning for Autonomous Driving in Dynamic On-Road Scenarios by Shuhuan Ma, Zhiqiang Ning, Lixin Wei, Pengpeng Chai

“…Considering the driving safety and comfort, the cost function is designed deliberately for the generated trajectories in each area to evaluate the behaviors of the automobile. …”
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Research on information extraction methods for historical classics under the threshold of digital humanities by Lifan HAN, Zijing JI, Zirui CHEN, Xin WANG

“…Digital humanities aims to use modern computer network technology to help traditional humanities research.Classical Chinese historical books are the important basis for historical research and learning, but since their writing language is classical Chinese, it is quite different from the vernacular Chinese in grammar and meaning, so it is not easy to read and understand.In view of the above problems, the solution to extract entities and relations in historical books based on pre-trained models was proposed to obtain the rich information contained in historical texts effectively.The model usedmulti-level pre-training tasks instead of BERT's original pre-training tasks to fully capture semantic information.And the model added some structures such as convolutional layers and sentence-level aggregations on the basis of the BERT model to optimize the generated word representation further.Then, in view of the scarcity of classical Chinese annotation data, a crowdsourcing system for the task of labeling historical classics was constructed, high-quality, large-scale entity and relation data was obtained and the classical Chinese knowledge extraction dataset was constructed.So it helped to evaluate the performance of the model and fine-tune the model.Experiments on the dataset constructed in this paper and on the GulianNER dataset demonstrated the effectiveness of the model proposed in this paper.…”
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Preoperative assessment using a scoring system after neoadjuvant chemotherapy with docetaxel, cisplatin, and 5-fluorouracil for locally advanced esophageal cancer: Who can avoid su... by Yasunori Kurahashi, Toshihiko Tomita, Takuya Okugawa, Kazuhiro Kitajima, Motoki Murakami, Shugo Kohno, Yudai Hojo, Eiichiro Nakao, Tatsuro Nakamura, Yoshinori Ishida, Shinichiro Shinzaki, Hisashi Shinohara

“…After calculating the scores for all patients, a receiver operating characteristic (ROC) curve was generated to determine the optimal cutoff value for predicting residual tumors. …”
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Advancing Sentiment Analysis for Low-Resource Languages Using Fine-Tuned LLMs: A Case Study of Customer Reviews in Turkish Language by Rukiye Savran Kiziltepe, Ercan Ezin, Omer Yentur, Arwa M. Basbrain, Murat Karakus

“…Evaluations were conducted on both in-domain and out-domain test sets derived from the original star-ratings-based labels and the newly generated GPT labels. …”
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Impact of Multiple-Laser Processing on the Low-Cycle Fatigue Behaviour of Laser-Powder Bed Fused AlSi10Mg Alloy by Arun Prasanth Nagalingam, Erkan Bugra Tureyen, Abdul Haque, Adrian Sharman, Ozgur Poyraz, Evren Yasa, James Hughes

“…Both strategies were evaluated under varying layer thicknesses and gas flow conditions with optimized process parameters. …”
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ChatGPT performance in assessing musculoskeletal MRI scan appropriateness based on ACR appropriateness criteria by Jin Rong Tan, Daniel Y. Z. Lim, Quan Le, Gita Y. Karande, Lai Peng Chan, Yeong Huei Ng, Daniel S. W. Ting, Sudharsan Madhavan, Hiok Yang Chan, Anh N. T. Tran, Yusheng Keefe Lai

“…In radiology, there is limited research on LLMs for assessing imaging appropriateness. This study evaluates a contextualized GPT-4-based LLM’s performance in assessing the appropriateness of musculoskeletal MRI scan requests with standard models and different versions of optimization. …”
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Modeling and design of compact, permanent-magnet transport systems for highly divergent, broad energy spread laser-driven proton beams by J. De Chant, K. Nakamura, Q. Ji, L. Obst-Huebl, S. Barber, A. M. Snijders, C. G. R. Geddes, J. van Tilborg, A. J. Gonsalves, C. B. Schroeder, E. Esarey

“…These designs are optimized for different parameters such as energy spread and peak proton density according to the application’s need. …”
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Simultaneous integrated boost-intensity modulated radiation therapy (SIBIMRT) planning for pelvic tumours: dose coverage to target volume and normal tissue sparing by Marwa Ali Hussein, Siham Sabah Abdullah, Hadeel Kamil Abdullah, Abdulrahman Mohammed Abdulbaqi, Sura Abdul Kareem Madlool

“…There was a significant variance in the target volume dose and organ at risk in the 4 different plans generated using the simultaneous integrated boost-intensitymodulated radiation therapy technique (p<0.05). …”
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Improvement of image quality for small lesion sizes in 18F-FDG prone breast silicon photomultiplier-based PET/CT imaging by Nobuhiro Yada, Hiroyuki Kuroda, Toshihiko Kawamura, Mizuki Fukuda, Yoshinori Miyahara, Takeshi Yoshizako, Yasushi Kaji

“…Objective(s): We investigated image quality and standardized uptake values (SUVs) for different lesion sizes using clinical data generated by 18F-FDG-prone breast silicon photomultiplier (SiPM)-based positron emission tomography/computed tomography (PET/CT).Methods: We evaluated the effect of point-spread function (PSF) modeling and Gaussian filtering (Gau) and determined the optimal reconstruction conditions. …”
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Automatic diagnosis of extraocular muscle palsy based on machine learning and diplopia images by Xiao-Lu Jin, Xue-Mei Li, Tie-Juan Liu, Ling-Yun Zhou

“…AIM: To develop different machine learning models to train and test diplopia images and data generated by the computerized diplopia test. …”
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New understanding and research directions of oil and gas accumulation in Paleozoic buried hills， Jiyang Depression by WANG Yongshi, ZHANG Pengfei, WANG Xuejun, MA Shuai, LUO Xia, ZHANG Yunyin, XIONG Wei, WANG Yong, TIAN Wen, LIU Ruijuan

“…Guided by these understandings， the exploration directions of Paleozoic buried hill reservoirs in Jiyang Depression was changed， and the exploration space of buried hills was expanded， laying a foundation for the evaluation of Paleozoic buried hill exploration zones， and the optimization of trap targets and breakthroughs were made in the exploration of hidden buried hills in deep slopes and negative tectonic zones. …”
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Quantification of Phenolic Compounds in Olive Oils by Near-Infrared Spectroscopy and Multiple Regression: Effects of Cultivar, Hydroxytyrosol Supplementation, and Deep-Frying by Taha Mehany, José M. González-Sáiz, Consuelo Pizarro

“…The SELECT-OLS method generated highly predictive models with minimal complexity, using at most 30 wavelengths out of 700. …”
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Digital mapping of soil organic carbon in the hilly and mountainous landscape of Indian Himalayan region employing machine-learning techniques by Justin George Kalambukattu, Suresh Kumar, Bappa Das, Trisha Roy

“…The pixel wise uncertainty in SOC prediction by different models were also spatially mapped by generating the lower (LL) and upper limits (UL) of the 90% prediction interval. …”
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Piezoelectric sensor characterization in buckling mode for structural dynamic strain measurements by Aliakbar Ghaderiaram, Erik Schlangen, Mohammad Fotouhi

“…This paper investigates the potential of piezoelectric sensors operating in buckling mode for structural strain measurement by evaluating key factors including boundary conditions, sensor response linearity under dynamic loading, and impedance engineering to optimize the voltage–strain relationship. …”
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Comprehensive Bayesian exploration of Froggatt-Nielsen mechanism by Masahiro Ibe, Satoshi Shirai, Keiichi Watanabe

“…Abstract The Froggatt-Nielsen (FN) mechanism successfully explains the hierarchical structure of fermion Yukawa couplings by introducing a U(1) flavor symmetry with distinct charge assignments for different fermion generations. While some FN charge assignments have been proposed, their evaluation has largely relied on heuristic approaches. …”
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Masseter Vestibular evoked myogenic potentials: A new tool to assess the vestibulomasseteric reflex pathway by Aishwarya Nagarajan, Sujeet Kumar Sinha

“…The mVEMP could be used as a complementary test to evaluate the same peripheral generator as the cervical VEMP but a different central pathway i.e., vestibulo-trigeminal pathway. …”
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A Model‐Based Deep‐Learning Approach to Reconstructing the Highly Articulated Flight Kinematics of Bats by Yihao Hu, Chi Nnoka, Rolf Müller

“…Conventional methods to obtain these data have been based on tracing landmarks and require substantial manual effort. To generate 3D reconstructions of the entire geometry of a flying bat in a fully automated fashion, the current work has developed an approach where the pose of a trainable articulated mesh template that is based on the bat's anatomy is optimized to fit a set of binary silhouettes representing views from different directions of the flying bat. …”
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Current applications and challenges in large language models for patient care: a systematic review by Felix Busch, Lena Hoffmann, Christopher Rueger, Elon HC van Dijk, Rawen Kader, Esteban Ortiz-Prado, Marcus R. Makowski, Luca Saba, Martin Hadamitzky, Jakob Nikolas Kather, Daniel Truhn, Renato Cuocolo, Lisa C. Adams, Keno K. Bressem

“…Results We show that most studies investigate Generative Pre-trained Transformers (GPT)-3.5 (53.2%, n = 66 of 124 different LLMs examined) and GPT-4 (26.6%, n = 33/124) in answering medical questions, followed by patient information generation, including medical text summarization or translation, and clinical documentation. …”
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Carbon management in massive electric vehicle temporal and spatial scheduling with automotive electronic forensics by Yongsheng Cao, Yihong Zhang, Caiping Zhao

“…This study proposes a novel two-layer optimization model to address these issues by coordinating the scheduling of EVs, generators, and solar power. …”
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Machine Learning Approach for Ground-Level Estimation of Electromagnetic Radiation in the Near Field of 5G Base Stations by Oluwole John Famoriji, Thokozani Shongwe

“…Because a machine learning algorithm is trained by utilizing data obtained from numerous 5G base stations, it exhibits the capability to estimate the strength of the electric field effectively at every point of arbitrary radiation, while the base station generates a network and serves various numbers of 5G terminals running in different modes of service. …”
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