Cultivation Method Analysis for Teachers’ Teaching Ability Driven by Artificial Intelligence Technology by Yanfang Chen, Shasha Xu

“…Colleges and universities have reached a new stage in their evolution, one marked by intelligent use of technology, as represented by the fourth generation of information technology: cloud computing, big data, and artificial intelligence. …”
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First Results of a Study on the Vibrations Transmitted to the Driver by an Electric Vehicle for Disabled People During Transfer to a Farm by Laura Fornaciari, Roberto Tomasone, Daniele Puri, Carla Cedrola, Renato Grilli, Roberto Fanigliulo, Daniele Pochi, Mauro Pagano

“…This study evaluates the safety aspects of a prototype electric vehicle designed to enable wheelchair users to independently perform simple farm tasks in rural settings, like sample collection and crop monitoring. …”
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Mycosynthesis of silver nanoparticles by Aspergillus templicola OR480102: a multifaceted approach for antibacterial, anticancer, and scratch assay applications by Marwa M. Abdel-Kareem, Maysa M. A. Ali, Abd El-Latif Hesham, Hossam E. F. Abdel-Raheam, Marwa Obiedallah

“…Results Within this current investigation, for the first time, we evaluated how the extracellular extract of the isolate MAK223 generated exceptionally fixed AgNPs. …”
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Urban Heat Island Effect: Remote Sensing Monitoring and Assessment—Methods, Applications, and Future Directions by Lili Zhao, Xuncheng Fan, Tao Hong

“…The paper first analyzes the formation mechanisms and impacts of urban heat islands, then traces the evolution of remote sensing technology from early traditional platforms such as Landsat and NOAA-AVHRR to modern next-generation systems, including the Sentinel series and ECOSTRESS, emphasizing improvements in spatial and temporal resolution and their application value. …”
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Surface Ice Detection Using Hyperspectral Imaging and Machine Learning by Steve Vanlanduit, Arnaud De Vooght, Thomas De Kerf

“…Hyperspectral reflectance data were acquired using a push-broom HSI system under controlled laboratory conditions, with ice and rime ice generated using a thermoelectric cooling setup. Support Vector Machine (SVM) and Random Forest (RF) classifiers were trained on uncoated aluminum samples and evaluated on surfaces with different coatings to assess model generalization. …”
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Synthesis of Zeolite from Electrolytic Manganese Residue: Investigation on the Variation of the Propert of Zeolite during the Conversion Process by Changxin Li, Yuan Yu, Qingwu Zhang, Hong Zhong, Shuai Wang

“…By varying synthesis conditions, different zeolites with different purity were generated, and it was proven that a lower Si/Al ratio, relatively higher temperature, and relatively longer time favored the synthesis of zeolite. …”
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YOLOv9-Based Human Face Detection and Counting Under Human-Animal Faces, Complex Imaging Environments, and Image Qualities by Sivaranjini Perikamana Narayanan, M. Sabarimalai Manikandan, Linga Reddy Cenkeramaddi

“…The performance of the model is degraded under different kinds of noise and blurred images. The results of this study highlight that performance can be improved by using noise-specific filtering techniques with optimal filtering parameters, but this requires the automatic identification of noise types and their corresponding parameters.…”
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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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Research progress on alkaline earth aluminates for dispenser cathodes by Zichen LI, Yunfei YANG, Yongfeng CAI, Zheng LIU, Junhao SUN, Hongmei LIU, Wenyuan ZHOU, Shizhong WEI, Jinshu WANG

“…Data on the structure of various impregnants and the phase diagrams of binary and ternary alkaline earth metal aluminates clarify the contribution of different impregnants to cathode performance. Finally, an outlook on the development of alkaline earth aluminates for dispenser cathodes is presented, including crystal structure analysis, stability adjustments, and preparation process optimization.…”
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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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An RTM-Driven Machine Learning Approach for Estimating High-Resolution FAPAR From LANDSAT 5&#x002F;7&#x002F;8&#x002F;9 Surface Reflectance by Guodong Zhang, Gaofei Yin, Yi Zhang, Jiangchuan Hu, Zongyan Li, Changjing Wang, Dujuan Ma, Jiangliu Xie

“…A coupled land&#x2013;atmosphere RT model (RTM) and shuffled complex evolution optimization algorithm were first implemented at globally distributed VIIRS pixels for realistic simulation of land surface reflectance corresponding Landsat spectral bands and FAPAR under various conditions. …”
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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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