A New Adapter Tuning of Large Language Model for Chinese Medical Named Entity Recognition by Lu Zhou, Yiheng Chen, Xinmin Li, Yanan Li, Ning Li, Xiting Wang, Rui Zhang

“…Named entity recognition (NER) is a crucial step in extracting medical information from Chinese text, and fine-tuning large language models (LLMs) for this task is an effective approach. …”
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Enhancing Wildfire Detection via Trend Estimation Under Auto-Regression Errors by Xiyuan Liu, Lingxiao Wang, Jiahao Li, Khan Raqib Mahmud, Shuo Pang

“…Finally, we show that the proposed method can “stabilize” YOLOv7 detections, serving as an additional step to enhance the original algorithm’s performance.…”
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Enhancing Efficiency and Security in MTC Environments: A Novel Strategy for Dynamic Grouping and Streamlined Management by Maloth Bhavsingh, K Samunnisa, A Mallareddy

“…These improvements mark a significant step toward achieving an optimal balance between efficiency and security for MTC networks. …”
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Enhanced Hybrid U-Net Framework for Sophisticated Building Automation Extraction Utilizing Decay Matrix by Ting Wang, Zhuyi Gong, Anqi Tang, Qian Zhang, Yun Ge

“…Automatically extracting buildings from remote sensing imagery using deep learning techniques has become essential for various real-world applications. …”
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Codeine 3-O-demethylase catalyzed biotransformation of morphinan alkaloids in Escherichia coli: site directed mutagenesis of terminal residues improves enzyme expression, stability... by Garrick W. K. Spencer, Xu Li, Kenny W. L. Lam, George Mutch, Fiona H. Fry, Sally L. Gras

“…The enzyme codeine 3-O-demethylase can transform morphinan alkaloids by O-demethylation and has been applied in single step biotransformation reactions or as part of larger biosynthetic cascade, however, the productivity for these reactions remains low and suboptimal enzyme properties could be improved. …”
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Three Environments, One Problem: Forecasting Water Temperature in Central Europe in Response to Climate Change by Mariusz Ptak, Mariusz Sojka, Katarzyna Szyga-Pluta, Teerachai Amnuaylojaroen

“…This study presents a multi-step, data-driven predictive modeling framework to estimate water temperatures for the period 2021–2100 in three aquatic environments in Central Europe: the Odra River, the Szczecin Lagoon, and the Baltic Sea. …”
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Mask-Guided Spatial–Spectral MLP Network for High-Resolution Hyperspectral Image Reconstruction by Xian-Hua Han, Jian Wang, Yen-Wei Chen

“…Hyperspectral image (HSI) reconstruction is a critical and indispensable step in spectral compressive imaging (CASSI) systems and directly affects our ability to capture high-quality images in dynamic environments. …”
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An Object Detection Model based on Augmented Reality for Iraqi Archaeology by suha Dh. Athab, Abdulamir Abdullah Karim

“…Since there is not an appropriate Iraqi archeology dataset available for training deep learning models, a dataset of 2188 color images was collected. …”
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Quantum distance approximation for persistence diagrams by Bernardo Ameneyro, Rebekah Herrman, George Siopsis, Vasileios Maroulas

“…So, in this work we explore the potential of quantum computers to estimate the distance between persistence diagrams as the next step in the design of a fully quantum framework for TDA. …”
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Animal Species Identification in Historical Parchments by Continuous Wavelet Transform–Convolutional Neural Network Classifier Applied to Ultraviolet–Visible–Near-Infrared Spectros... by Nicolas Roy, Henry Pièrard, Julie Bouhy, Alexandre Mayer, Olivier Deparis, David Gravis

“…First, a continuous wavelet transform was performed on the spectral data as a preprocessing step. Then, a semisupervised neural network with a 2-component architecture was applied to the preprocessed data. …”
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Expanding the frontiers of additive manufacturing: Higher microstructure identification through probability modeling by Muhammad Shoaib, Muhammad Idrees, Hakeem Ullah, Aasim Ullah Jan, Touqeer Ahmad, Ali Akgül, Magda Abd El-Rahman, Seham M. Al-Mekhlafi

“…Probabilistic models and machine learning methods create a step forward in making predictions for additive manufacturing (AM) microstructure. …”
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Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval by Haijiao Xu, Changqin Huang, Xiaodi Huang, Chunyan Xu, Muxiong Huang

“…This paper presents a novel approach for semantic image retrieval by combining Convolutional Neural Network (CNN) and Markov Random Field (MRF). As a key step, image concept detection, that is, automatically recognizing multiple semantic concepts in an unlabeled image, plays an important role in semantic image retrieval. …”
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Using the TSA-LSTM two-stage model to predict cancer incidence and mortality. by Rabnawaz Khan, Wang Jie

“…As a result, the model's natural learning trend and prediction quality are enhanced. …”
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Heuristic pruning of decision trees at low probabilities and probability discounting in sequential planning in young and older adults by Sophia-Helen Sass, Lorenz Gönner, Sarah Schwöbel, Sascha Frölich, Franka Glöckner, Stefan J. Kiebel, Shu-Chen Li, Michael N. Smolka

“…This study investigates whether participants prune low-probability options in a three-step decision-making task and analyzes the impact of probability discounting on planning. …”
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Longitudinal observational cohort study: Speech for Intelligent cognition change tracking and DEtection of Alzheimer’s Disease (SIDE-AD) by Craig W Ritchie, Saturnino Luz, Graciela Muniz Terrera, Stina Saunders, Fasih Haider

“…To address this, we implemented a consent process, whereby the first step of the consent is done entirely remotely but a member of the research team contacts the participant over the phone to consent participants to the optional, most sensitive, elements of the study. …”
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Improving the explainability of CNN-LSTM-based flood prediction with integrating SHAP technique by Hao Huang, Zhaoli Wang, Yaoxing Liao, Weizhi Gao, Chengguang Lai, Xushu Wu, Zhaoyang Zeng

“…However, deep learning algorithms are difficult to explain, like a “black box” that lacks insight. …”
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An Integrated Sample-Free Method for Agricultural Field Delineation From High-Resolution Remote Sensing Imagery by Yu Zhu, Yaozhong Pan, Tangao Hu, Dujuan Zhang, Jiajia Dai

“…Accurate delineation of agricultural fields from remote sensing imagery is crucial for various precision agriculture and remote sensing applications. However, common learning-based delineation methods face problems related to limited sample availability and weak transferability. …”
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Feature fusion ensemble classification approach for epileptic seizure prediction using electroencephalographic bio-signals by Yazeed Alkhrijah, Yazeed Alkhrijah, Shehzad Khalid, Shehzad Khalid, Syed Muhammad Usman, Amina Jameel, Muhammad Zubair, Haya Aldossary, Aamir Anwar, Saad Arif

“…In the first step, a Butterworth filter is applied, followed by a wavelet and a Fourier transform for the denoising of EEG signals. …”
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Metformin Protective Effects in LPS-Induced Alzheimer's Disease Mice Model: NO-cGMP-KATP Pathway Involvement by Mojtaba Dolatshahi, Ali Khorsandinezhad, Behnam Ghorbanzadeh, Yousef Paridar, Donya Nazarinia

“…Also, metformin increased the LPS induced step through latency (STL) reduction. L-NAME, methylene blue and glibenclamide decreased the STL, but it was increased by L-arginine and sildenafil. …”
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Smart agriculture using IoT for automated irrigation, water and energy efficiency by Subir Gupta, Subrata Chowdhury, Ramya Govindaraj, Kassian T.T. Amesho, Sumarlin Shangdiar, Timoteus Kadhila, Sioni Iikela

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