YOLOv8-LSW: A Lightweight Bitter Melon Leaf Disease Detection Model by Shuang Liu, Haobin Xu, Ying Deng, Yixin Cai, Yongjie Wu, Xiaohao Zhong, Jingyuan Zheng, Zhiqiang Lin, Miaohong Ruan, Jianqing Chen, Fengxiang Zhang, Huiying Li, Fenglin Zhong

“…To address the issues of weak generalization ability and high computational demands in existing deep learning models in complex field environments, this study proposes an improved lightweight YOLOv8-LSW model. …”
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Research Status and Development Trends of Deep Reinforcement Learning in the Intelligent Transformation of Agricultural Machinery by Jiamuyang Zhao, Shuxiang Fan, Baohua Zhang, Aichen Wang, Liyuan Zhang, Qingzhen Zhu

“…With the acceleration of agricultural intelligent transformation, deep reinforcement learning (DRL), leveraging its adaptive perception and decision-making capabilities in complex environments, has emerged as a pivotal technology in advancing the intelligent upgrade of agricultural machinery and equipment. …”
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Changes in the quality of life of adults with sickle cell disease following allogeneic stem cell transplantation: A mixed‐methods, prospective cohort study by Elisabeth Dovern, Sterre J. A. M. Nijland, Annemarie M. J. Braamse, Maud M. vanMuilekom, Elisabeth M. J. Suijk, Gerianne M. Hoogendoorn, Charlotte F. J. vanTuijn, Michael R. DeBaun, Bart J. Biemond, Lotte Haverman, Erfan Nur

“…Thematic analysis of the interviews revealed high satisfaction with improved physical and social abilities alongside complex mental health challenges, including processing the psychological aftermath of SCD, dealing with transplant‐related toxicity, adjustment challenges, and identity conflicts. …”
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Cascaded Machine Learning of Soil Moisture and Salinity Prediction in Estuarine Wetlands Based on In Situ Internet of Things Monitoring by Jie Song, Yujun Yi

“…Abstract Estuarine wetlands, formed by the interaction of fluvial and tidal processes, exhibit complex spatiotemporal variations in soil moisture and salinity. …”
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Modeling eye gaze velocity trajectories using GANs with spectral loss for enhanced fidelity by Shailendra Bhandari, Pedro Lencastre, Rujeena Mathema, Alexander Szorkovszky, Anis Yazidi, Pedro G. Lind

“…Traditional generative models like Markov models often fail to capture the complex temporal dependencies and distributional nuance inherent in eye gaze trajectories data. …”
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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

“…Methods: To address this issue, we first performed a pan-cancer analysis to train a convolutional 1-D Neural Network (CNN) using supervised learning. …”
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PROFESSIONAL AND PEDAGOGICAL COMPETENCE OF EDUCATIONAL AND METHODOLOGICAL CENTERS TEACHERS IN THE SPHERE OF CIVIL DEFENSE: STRUCTURE AND CONTENT by Demkiv Anna

“…The content of the personal and professional component is defined as a complex of personal qualities which ensures their self-organization at a high level of professional development based on reflection, and it is the basis for improving pedagogical skills. …”
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Evaluation of long-read sequencing for Ostreid herpesvirus type 1 genome characterization from Magallana gigas infected tissues by Aurélie Dotto-Maurel, Camille Pelletier, Lionel Degremont, Serge Heurtebise, Isabelle Arzul, Benjamin Morga, Germain Chevignon

“…We then evaluated the ability of ONT sequencing to produce an accurate OsHV-1 genome from both whole-genome and “adaptive sampling” (AS) sequencing approaches. …”
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Diagnostics of Structural Thinking of Bachelors of Pedagogical Education as a Universal Pedagogical Competence by Daria A. Barkhatova, Daria S. Grushentseva

“…Astafiev.Materials and methods. Analysis of psychological and pedagogical literature and methodological developments made it possible to construct diagnostic material for assessing structural thinking as a universal pedagogical competence at three levels: the level of structure, the level of details and the level of complex tasks. …”
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Competency self-assessment for a learning-based autonomous aircraft system by Nicholas Conlon, Aastha Acharya, Jamison McGinley, Trevor Slack, Camron A. Hirst, Marissa D’Alonzo, Mitchell R. Hebert, Christopher Reale, Eric W. Frew, Rebecca Russell, Nisar R. Ahmed

“…Supervisors of these systems will be faced with many challenges, including platforms that operate outside of visual range and the need to decipher complex sensor or telemetry data in order to make informed and safe decisions with respect to the platforms and their mission. …”
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Fault Detection in Gearboxes Using Fisher Criterion and Adaptive Neuro-Fuzzy Inference by Houssem Habbouche, Tarak Benkedjouh, Yassine Amirat, Mohamed Benbouzid

“…A hybrid approach, combining AI and physics-based models, could provide a robust solution by leveraging the strengths of both domains: AI for its ability to process large volumes of data and physics-based models for their reliability in modeling complex mechanical behaviors. …”
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Ebers–Moll model inspired equivalent circuit for quantum thermal transistors by Anuradhi Rajapaksha, Sarath D. Gunapala, Malin Premaratne

“…The widespread success of electronic transistors is partly due to their ability to be modeled using equivalent circuits, which not only enables detailed analysis and efficient design but also provides greater insight for designers, facilitating the development of complex electronic systems. …”
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Enhancing students' argumentation skills through socio-scientific real-world inquiry: A quasi-experimental study in biological education by Anwari Adi Nugroho, Sajidan Sajidan, Suranto Suranto, Mohammad Masykuri

“…Argumentation skills are important for students to analyze and evaluate critical information, especially in complex science issues. Socio-Scientific Real-world Inquiry [SSRI] learning helps students develop deep scientific understanding and the ability to build evidence-based arguments in a real context. …”
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MORPHOLOGICAL VARIATION OF LONG-LEGGED VELVET MITE LARVAE IN DEEP TIME by Sofía Arce, FLORIAN BRAIG, SIMON J. LINHART, JÉHAN LE CADRE, OLYMPIA SALVAMOSER, PATRICK MÜLLER, CAROLIN HAUG, JOACHIM T. HAUG

“… Parasitengona, an ingroup of Trombidiformes, is characterised by a complex life cycle, in which the larval stage is parasitic on animals. …”
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Understanding changing demand for police during the coronavirus pandemic by Reka Solymosi, Matthew Ashby, Nadia Kennar, Eon Kim, Karen Byrom, Alexander McMillan, Phoebe Liebelt

“…Call handlers reported stress related to managing complex public health-related queries but a positive ability to resolve more calls remotely. …”
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Deep learning-based edge detection for random natural images by Kanija Muntarina, Rafid Mostafiz, Sumaita Binte Shorif, Mohammad Shorif Uddin

“…In recent years, the emergence of deep learning technology has revolutionized this field by utilizing its ability to automatically learn complex features from natural images. …”
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Progress in plant genome sequencing: research directions by M. K. Bragina, D. A. Afonnikov, E. A. Salina

“…Targeted sequencing has a higher detection power (the ability to identify new differences/variants) and resolution (up to one basis). …”
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‘Early planning makes for a good death’: residential aged care nurses’ views on caring for those in the last months of life by Priyanka Vandersman, Jennifer Tieman

“…Four themes emerged from the analysis of the data, namely: (1) The last months of life have unique caring needs; (2) Identifying the last months of life is complex (3), Care provision is driven by task orientation, and (4) Good end-of-life care is acknowledged yet limited. …”
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Investigations into aerodynamics of tall buildings using signal processing tools by Chaturvedi Arjit, Mohan Keerthana, Darshyamkar Renuka, Harikrishna Pabbisetty

“…This paper investigates surface pressures obtained from wind tunnel testing of a CAARC model building using advanced signal processing techniques, including Principal Component Analysis (PCA) and Independent Component Analysis (ICA). …”
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REDalign: accurate RNA structural alignment using residual encoder-decoder network by Chun-Chi Chen, Yi-Ming Chan, Hyundoo Jeong

“…Conclusion REDalign presents a significant advancement in RNA secondary structural alignment, balancing high alignment accuracy with lower computational demands. Its ability to handle complex RNA structures, including pseudoknots, makes it an effective tool for large-scale RNA analysis, with potential implications for accelerating discoveries in RNA research and comparative genomics.…”
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