YOLOv8 with Post-Processing for Small Object Detection Enhancement by Jinkyu Ryu, Dongkurl Kwak, Seungmin Choi

“…Small-object detection in images, a core task in unstructured big-data analysis, remains challenging due to low resolution, background noise, and occlusion. …”
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Factors influencing academic achievement of girls in Zimbabwean rural secondary schools by Dangarembwa George, Pesanayi Gwirayi

“…The sample consisted of twenty-two participants, who included two school heads, four teachers, and sixteen female learners, all of whom were purposively sampled from the selected schools. Data were gathered using unstructured interviews and focus group discussions, and analysed using thematic content analysis technique. …”
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Numerical investigation of added resistance of a container ship in short regular waves using unsteady RANS simulations by Paresh Halder, Shukui Liu

“…Simulation results are compared to available experimental data and results based on empirical methods recommended by authorities. …”
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Analyzing Fairness of Computer Vision and Natural Language Processing Models by Ahmed Rashed, Abdelkrim Kallich, Mohamed Eltayeb

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Needs of the network: a qualitative study of the needs of family members, partners and close friends of people with a severe mental illness (SMI) by Gwen van Husen, Thijs J. Burger, Mariken B. de Koning, Matty A.S. de Wit, Menno W. Segeren, Aartjan T.F. Beekman

“…This study underscores the importance of mental healthcare and support services in structurally extending its attention to social network members of people with an SMI. …”
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Neuroprotective effects of phenylacetylglycine via β2AR on cerebral ischemia/reperfusion injury in rats by Wenjie Hu, Xueyan Kuang, Yao Zhang, Yimin Luo, Litao Zhang

“…The results indicated that PAGly markedly alleviated cerebral infarct volume (P = 0.0024) and improved the neurobehavioral outcomes (P = 0.0149) after I/R injury. PAGly is structurally analogous to catecholamines and binds to β2-adrenergic receptors (β2AR) on microglia without altering the expression of these receptors (P = 0.9137), but instead inhibiting their activity. …”
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LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics—The Case of Greek Songs by Dimitrios P. Panagoulias, Evangelia-Aikaterini Tsichrintzi, Dionisios N. Sotiropoulos, Konstantina Chrysafiadi, Evangelos Sakkopoulos, George A. Tsihrintzis, Maria Virvou

“…An important feature of LYRICEL is its use of KG visualizations, which serve as dynamic links to improve interpretability and validatability by structuring data relationships and sources. These visualizations are central to advancements in four areas: KG representation learning, knowledge acquisition, temporal KGs, and knowledge-aware applications. …”
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Improving Nutrition and Nutrition Education in the Burn Unit of a Developing Country: A Qualitative Study by Jonathan Bayuo, Joyce Pwavra, Jephtah Davids, Anita Eseenam Agbeko, Paa Ekow Hoyte-Williams, Frank Bediako Agyei, Pius Agbenorku

“…The findings highlight an unstructured approach to nutrition and education, along with financial constraints affecting adherence. …”
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Critical care studies using large language models based on electronic healthcare records: A technical note by Zhongheng Zhang, Hongying Ni

“…The note emphasizes the significance of LLMs in processing unstructured data from electronic health records (EHRs), extracting meaningful insights, and supporting personalized medicine through nuanced understanding of patient histories. …”
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Factors associated with the premarital sex among adolescents and the need for introduction of functional sex-education in secondary schools in Ebonyi state, Nigeria by Paulinus S. Okah, Chinyere E Onalu, Gabriel U Aghedo, Christian C Iyiani, Sunday E Abonyi

“…This was a descriptive cross-sectional study using unstructured in-depth interviews to collect data from 24 purposively selected respondents and analyzed thematically. …”
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Phenomenology of the Dominant Environment in Public Sector Accounting Education from the Perspective of Graduates in Public Sector Accounting by Sajad Naghdi, Roghayye Jeddi

“…Fifty-three individuals were selected to reach theoretical saturation, and the main method of data collection was an unstructured interview with open-ended questions. …”
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Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought... by Sanghwan Kim, Sowon Jang, Borham Kim, Leonard Sunwoo, Seok Kim, Jin-Haeng Chung, Sejin Nam, Hyeongmin Cho, Donghyoung Lee, Keehyuck Lee, Sooyoung Yoo

“… BackgroundTraditional rule-based natural language processing approaches in electronic health record systems are effective but are often time-consuming and prone to errors when handling unstructured data. This is primarily due to the substantial manual effort required to parse and extract information from diverse types of documentation. …”
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Hybrid LSTM–Transformer Architecture with Multi-Scale Feature Fusion for High-Accuracy Gold Futures Price Forecasting by Yali Zhao, Yingying Guo, Xuecheng Wang

“…Future applications could leverage high-frequency data sharing and cross-market risk contagion models to enhance China’s influence in global gold pricing governance.…”
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A Novel Policy Distillation With WPA-Based Knowledge Filtering Algorithm for Efficient Industrial Robot Control by Gilljong Shin, Seongjin Yun, Won-Tae Kim

“…Policy distillation is a kind of model compression schemes of deep reinforcement learning by means of teacher-student model which make a pre-trained teacher model transfer its knowledge to structurally simplified student models in order to enhance the computing efficiency. …”
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Remote Sensing Image Semantic Segmentation Sample Generation Using a Decoupled Latent Diffusion Framework by Yue Xu, Honghao Liu, Ruixia Yang, Zhengchao Chen

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Geochemical Assessment of Long-Term CO₂ Storage from Core- to Field-Scale Models by Paa Kwesi Ntaako Boison, William Ampomah, Jason D. Simmons, Dung Bui, Najmudeen Sibaweihi, Adewale Amosu, Kwamena Opoku Duartey

“…The results indicate that the majority of the injected CO₂ is trapped structurally, followed by residual trapping and dissolution trapping; mineral trapping was found to be negligible in this study. …”
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LLM-Assisted Ontology Restriction Verification With Clustering-Based Description Generation by Seungyeon Kim, Donghyun Kim, Seokju Hwang, Kyong-Ho Lee, Kyunghwa Lee

“…An ontology is a scheme for structuring relationships between concepts in a domain, promoting data interoperability and system integration. …”
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Characterization of chicken Relaxin3 gene: mRNA expression and response to reproductive hormone treatment in ovarian granulosa cells, and single nucleotide polymorphisms associated... by Chunfeng Zhang, Yi Sun, Li Kang, Yunliang Jiang

“…As a protein structurally similar to insulin, relaxin3 (RLN3) plays a role in promoting arousal, suppressing depressive or anxious behaviors. …”
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Enhancing Cybersecurity: Hybrid Deep Learning Approaches to Smishing Attack Detection by Tanjim Mahmud, Md. Alif Hossen Prince, Md. Hasan Ali, Mohammad Shahadat Hossain, Karl Andersson

“…The SMS Phishing Collection dataset was used, with a preparatory procedure involving the transformation of unstructured text data into numerical representations and the training of Word2Vec on preprocessed text. …”
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Relationship Extraction and Processing for Knowledge Graph of Welding Manufacturing by Kainan Guan, Liang Du, Xinhua Yang

“…The relationship extraction and processing solution are designed to handle data with different characteristics in welding fabrication. …”
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