Quantum computational infusion in extreme learning machines for early multi-cancer detection by Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, Yousef A. Alduraywish, Haixia Long

“…This study presents a hybrid model integrating Extreme Learning Machine (ELM) with FuNet transfer learning, applied on a multi-cancer dataset and optimized using the Quantum-Genetic Binary Grey Wolf Optimizer (Q-GBGWO). …”
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Selection ability and market timing skills of mutual fund and unit trust managers in a developing economy: evidence from Ghana by Richard Danquah, Baorong Yu

“…Design/methodology/approach – The study uses an improved survivorship bias-free dataset of yearly after-fee returns of all mutual funds and unit trusts operating in Ghana from January 2011 to December 2019, cumulating in nine years of quantitative fund data. …”
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Prediksi Penuaan Wajah Manusia Berbasis Generative Adversarial Network by Beladina Elfitri, Ema Rachmawati, Tjokorda Agung Budi Wirayuda

“…Pada penelitian ini, digunakan citra dari dataset UTKFace yang terdiri atas citra wajah berbagai usia. …”
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Regional Alteration within the Cerebellum and the Reorganization of the Cerebrocerebellar System following Poststroke Aphasia by Xiaotong Zhang, Zhaocong Chen, Na Li, Jingfeng Liang, Yan Zou, Huixiang Wu, Zhuang Kang, Zulin Dou, Weihong Qiu

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A Study on the Classification of Atopic Dermatitis by Spectral Features of Hyperspectral Imaging by Eun Bin Kim, Yoo Sang Baek, Onseok Lee

“…Thus, after dividing the colors and information into six datasets, classified and analyzed their features and severities using representative diagnostic evaluation tools. …”
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A Cell Differentiation Trajectory-Related Signature for Predicting the Prognosis of Lung Adenocarcinoma by Fan Yang, Yan Zhao, Xiaohan Huang, Jin Zhang, Ting Zhang

“…The prognostic model was constructed, and the GSE42127 dataset was used to validate. A nomogram evaluation model was used to predict prognosis. …”
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Do School Exclusions and Attainment Outcomes Disproportionately Impact Minority Ethnic Pupils? Analysis of Pupil Characteristics, Segregation, and Outcomes in England by Stephen Gorard, Nadia Siddiqui, Beng Huat See, Yiyang Gao

“…Large-scale administrative datasets show disproportionate figures for attainment outcomes and school exclusions for pupils in some ethnic groups in England. …”
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Hypergraph-Based Organizers’ Behavior Scheduling Optimization: High-Order Relationships Discovery by Ziqi Xu, Huiqi Zhang

“…Experiments conducted on a dataset of organizers from 36 prominent institutions (our complied data set) demonstrate the model’s effectiveness in improving scheduling programs, underscoring its capability to align scheduling practices with adaptive, data-driven optimization and fostering a responsive and efficient scheduling system.…”
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Different Types of Periampullary Duodenal Diverticula Are Associated with Occurrence and Recurrence of Bile Duct Stones: A Case-Control Study from a Chinese Center by Zhen Sun, Wenhui Bo, Ping Jiang, Quan Sun

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Data‐Driven Kinematic Modeling of Physical Origami Robots by Mustafa Mete, Alexander Schüßler, Yves Martin des Taillades, Bruno Trivelli, Jamie Paik

“…It is demonstrated that a small dataset is adequate for accurately learning the forward kinematics, which then informs an optimization‐based inverse kinematics. …”
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Assessment of in ovo soursop (Annona muricata L.) leaf extract injection on intestinal microbes in Noiler chicks by Timothy T. Kuka, Simplice D. Karou, Anani Kokou, Batomayena Bakoma

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Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay by David Bermejo-Peláez, Ana Alastruey-Izquierdo, Narda Medina, Daniel Capellán-Martín, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodríguez-Tudela

“…A total of 318 CrAgSQ LFAs were inoculated and systematically photographed twice, employing two distinct smartphones, resulting in a dataset of 1272 images. We developed an AI algorithm designed for the automated interpretation of CrAgSQ LFAs. …”
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A Bichannel Transformer with Context Encoding for Document-Driven Conversation Generation in Social Media by Yuanyuan Cai, Min Zuo, Qingchuan Zhang, Haitao Xiong, Ke Li

“…The experimental results on the dataset CMU_DoG indicate that the proposed model yields significant improvements over the state-of-the-art baselines on most of the evaluation metrics, and the generated responses of BCTCE are more informative and more relevant to dialogues than baselines.…”
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Enhanced Brain Tumor MRI Classification Using Stationary Wavelet Transform, ResNet50V2, and LSTM Networks by Oussama Abda, Hilal NAIMI

“…The method was analyzed using the Kaggle dataset and scored an amazing accuracy of 98.7%, which proved the effectiveness of the method in improving brain tumor classification. …”
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The Feasibility and Safety of the Clip-and-Snare Method with a Prelooping Technique for Gastric Submucosal Tumors Removal: A Single-Center Experience (with Video) by Qi Tang, Rui-Yue Shi, Jun Yao, Li-Sheng Wang, De-Feng Li

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Surface Energy of Insoluble Organic Matter Simulant: Evaluation Based on Adhesive Force Measured by Centrifugal and Impact Separation Methods by Yuuya Nagaashi, Yoshihiro Furukawa, Akiko M. Nakamura

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Exclusive Breastfeeding and Normative Belief among Rural Mothers in Ethiopia, 2019: A Cross-Sectional Survey Embedded with Qualitative Design by Wolde Melese Ayele

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Floral Resources and Nesting Requirements of the Ground-Nesting Social Bee, Lasioglossum malachurum (Hymenoptera: Halictidae), in a Mediterranean Semiagricultural Landscape by Carlo Polidori, Alice Rubichi, Valeria Barbieri, Luca Trombino, Marta Donegana

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WiFi Indoor Positioning Based on EGA-PF and Fernet Algorithm by Yanchun Wang, Shaoye Sun, Fengjuan Miao, Ying Xia

“…The suggested method is validated using UJIIndoorLoc dataset, and the research findings indicate that the average positioning error of the system is 0.95 m, 90% of the positioning errors are below 2 m, the variance is 0.0031, and the positioning time is 13.253 s.…”
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Study on the Shock Wave Characteristics of Spherical and Cylindrical Explosives in Near-field Underwater Explosion by J. Yu, X. P. Zhang, J. Wang, Y. Hao, H. B. Mao

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