Comparison of Bone Mineral Density in Thalassemia Major Patients with Healthy Controls by Mahesh Chand Meena, Alok Hemal, Mukul Satija, Shilpa Khanna Arora, Shahina Bano

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Present bias and its influence on financial behaviours amongst Indians by Sumit Kumar Maji, Sourav Prasad

“…The study makes an original contribution in this regard by using a very rich dataset of 47,132 individuals in the Indian context for the first time.…”
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Semantic‐aware visual consistency network for fused image harmonisation by Huayan Yu, Hai Huang, Yueyan Zhu, Aoran Chen

“…Experimental results demonstrate that the authors’ proposed method achieves competitive performance on the iHarmony4 dataset and benefits from the harmonisation of fused images with incompatible appearance gaps.…”
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Tiny Machine Learning Implementation for Guided Wave-Based Damage Localization by Jannik Henkmann, Vittorio Memmolo, Jochen Moll

“…Starting from current state of the art in algorithms used for damage detection and localization, an AI-based technique is developed and validated on an experimental benchmark dataset before tiny ML implementation on a low-cost development board. …”
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Lack of Short-Term Effectiveness of Rotating Treadmill Training on Turning in People with Mild-to-Moderate Parkinson's Disease and Healthy Older Adults: A Randomized, Controlled St... by Marie E. McNeely, Gammon M. Earhart

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I know your stance! Analyzing Twitter users’ political stance on diverse perspectives by Jisu Kim, Dongjae Kim, Eunil Park

“…This study collected Twitter datasets and labeled a user’s stance using a clustering approach to determine whether a user was a Democrat or a Republican. …”
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Three-stage cascade architecture-based siamese sliding window network algorithm for object tracking by Zheng Yang, Kaiwen Liu, Quanlong Li, Yandong Hou, Zhiyu Yan

“…Therefore, our ablation experiments are conducted on the VOT2016 dataset, and comparison experiments are conducted on four datasets, VOT2018, LaSOT, Tracking Net, and UAV123. …”
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Leveraging Deep Learning for Real-Time Coffee Leaf Disease Identification by Opeyemi Adelaja, Bernardi Pranggono

“…CoffNet, our proposed model, showed a notable processing speed of 125.93 frames per second (fps), making it suitable for real-time applications. Using a diverse dataset of mixed images from multiple devices, our approach reduces the workload of farmers and simplifies the disease detection process. …”
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Image-Based Arabic Sign Language Recognition System Using Transfer Deep Learning Models by Qanita Bani Baker, Nour Alqudah, Tibra Alsmadi, Rasha Awawdeh

“…This study presents an Arabic Sign Language recognition (ArSL) system that utilizes convolutional neural networks (CNNs) and several transfer learning models to automatically and accurately identify Arabic Sign Language characters. The dataset used for this study comprises 54,049 images of ArSL letters. …”
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Narrative microstructure and macrostructure in adolescents with Down syndrome and Williams syndrome by Aitana Viejo, Maite Fernández-Urquiza, Eliseo Diez-Itza

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The Duration of Breastfeeding and Its Association with Metabolic Syndrome among Obese Children by Renata Yakubov, Erez Nadir, Roni Stein, Adi Klein-Kremer

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Determination of 20 Neonicotinoid Insecticides and Their Metabolites in Infant Foods by a Modified QuEChERS Method Combined with HPLC-MS/MS by Liqiang Guo, Kai Li, Jinling Zhang, Guoning Tian, Ke Wang, Yajing Li

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Tour-Based Truck Demand Modeling with Entropy Maximization Using GPS Data by Soyoung Iris You, Stephen G. Ritchie

“…The tour-based entropy maximization model proposed in this paper provides an opportunity to incorporate periodically updated GPS data collected in Southern California into a large-scale tour-based model. With the dataset, four models were estimated by cargo movement: (1) year-based, (2) low period, (3) medium period, and (4) high period models. …”
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Online Pedagogical Tutorial Tactics Optimization Using Genetic-Based Reinforcement Learning by Hsuan-Ta Lin, Po-Ming Lee, Tzu-Chien Hsiao

“…Therefore, we introduced a Genetic-Based Reinforcement Learning (GBML) approach to induce tutorial tactics in an online-learning manner without basing on any preexisting dataset. The introduced method can learn a set of rules from the environment in a manner similar to RL. …”
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Method of Evaluating and Predicting Traffic State of Highway Network Based on Deep Learning by Jiayu Liu, Xingju Wang, Yanting Li, Xuejian Kang, Lu Gao

“…The highway network in Hebei Province is employed as a case study to validate the model, where the traffic state of highway network is analyzed using both predicted data and real data. The dataset contains 536,823 pieces of data collected by 233 continuous observation stations in Hebei Province from September 5, 2016, to September 12, 2016. …”
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Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University by Dani Wilian, Sriyanto Sriyanto

“…This research underscores the potential of data mining techniques to optimize library management and proposes avenues for future investigation, such as exploring advanced machine learning algorithms and expanding datasets for use in broader library contexts.…”
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A 5-Year Audit of Accidental Dural Punctures, Postdural Puncture Headaches, and Failed Regional Anesthetics at a Tertiary-Care Medical Center by Sukhdip Singh, Shagufta Y. Chaudry, Amy L. Phelps, Manuel C Vallejo

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Transcriptome profiling of aged-mice ovaries administered with individual ingredients of Samul-tang by Hyejin Shin, Jihyun Kim, Musun Park, Heeseon Jo, Myunggyo Lee, Seongwon Cha, Haeseung Lee, Sooseong You

“…To address this challenge, we identified 38 herbal compounds as the major ingredients in SM and generated their transcriptome data from aged-mice ovaries by administering these individual compounds. This dataset provides a resource for investigating the action mechanisms of SM and assist in identifying effective combinations of ingredients that can reproduce the therapeutic effects of SM.…”
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Breaking up the Canon of Literary Modernity: Classicism in the Ecopoetics of David Hinton and the Materialism of Zeng Shaoli. A Preliminary Outline of Epistemological Changes in Co... by Frank Kraushaar

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Structure Analysis of Factors Influencing the Preference of Ridesplitting by Xinghua Li, Feiyu Feng, Wei Wang, Cheng Cheng, Tianzuo Wang, Pengcheng Tang

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