A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement by Zhongmin Huangfu, Yibo Jiao, Fupeng Wei, Ge Shi, Hangcheng Dong

“…Current deep neural network visual interpretation approaches have issues including erroneous target localization. This study proposes an Affine Transformation and Pseudo Label Refinement (AT-CAM) method. …”
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Potential of Organic Fertilizers: Enhancing Pistacia Vera Cultivar ‘Kirmizi’ Through Soil and Leaf Analysis by Bekir AK, Ezgi Morkoc Surucu, Birgul Dikmetas Dogan, Ibrahim Halil Hatipoglu

“…The trees in the garden are approximately 30 years old, and their growth and yield conditions are similar. The soil samples were found to be near neutral in terms of pH and slightly alkaline, with no salinity issues detected. …”
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The effects of the attributional style on the mathematics performance of senior secondary school students by Akolade Olubunmi Lapite, Jacobus Gideon Maree, Joyce Jordaan

“…Future research on all the variables used in this study could be replicated on different samples. Researchers could consider exploring the use of an attributional style questionnaire on academic issues using a similar sample as in this study.…”
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Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers by Abolfazl Akbari, Maryam Adabi, Mohsen Masoodi, Abolfazl Namazi, Abolfazl Namazi, Fatemeh Mansouri, Seidamir Pasha Tabaeian, Seidamir Pasha Tabaeian, Zahra Shokati Eshkiki

“…The medical records, lab results, radiographs, endoscopic images, tissue samples, and medical histories of patients with gastrointestinal malignancies provide an enormous amount of medical data. …”
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Digital game addiction, anger and aggression among university students by Mehmet Altın

“…Statistical analyses included Independent Samples t-tests, One-Way ANOVA, and Pearson correlation tests to examine the relationships between digital game addiction, anger, and aggression. …”
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FedeAMR-CFF: A Federated Automatic Modulation Recognition Method Based on Characteristic Feature Fine-Tuning by Meng Zhang, Jiankun Ma, Zhenxi Zhang, Feng Zhou

“…Moreover, when terminal devices independently train models solely based on their local data, the model performance often suffers due to issues like data distribution disparities and insufficient training samples. …”
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Experimental study on silty sand contains environmental and friendly construction materials and long-term and short-term Behavior: Micro and macro study by Mahmoud Ghazavi, Mobina Taslimi Paein Afrakoti

“…This study highlights the effectiveness of PG and KF as sustainable alternatives for soil stabilization, showing improved soil properties and environmental issues.…”
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Improving Gaussian Naive Bayes classification on imbalanced data through coordinate-based minority feature mining by Wei Wang, Li Yan, Fen Liu, Yanxi Li

“…Most traditional approaches rely on sampling techniques; however, these methods alter the quantity and distribution of the original data and are prone to issues such as class overlap and overfitting, thus presenting clear limitations. …”
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The irrelevance of R&D intensity in the ESG disclosure? Insights from top 10 listed companies on global Islamic indices by Muhammad Afi Ramadhan, Ratna Mulyany, Evi Mutia

“…Global Islamic listed companies have rarely been studied in ESG-related issues. The pre-COVID-19 pandemic period was chosen to avoid the potential effects of pandemic on the subject of this study. …”
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Development and validation of dependence and craving measures specific to athletes who use anabolic-androgenic steroids by Barnaby N. Zoob Carter, Ian D. Boardley

“…., alcohol), containing issues with internal consistency and breadth of construct capture. …”
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RT-4M: Real-Time Mosaicing Manager for Manual Microscopy System by Nobuhito Mori, Yoshihiro Miyazaki, Tatsuya Oda, Yasuyuki S. Kida

“…., high-resolution digital images of biological samples, is expensive, and existing manual methods often suffer from stitching errors and additional reimaging costs. …”
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To Study the Relationship Between Audit Firms, Fraud Prevention and Fraud Detection with Special Reference to Erbil Holding Companies by Waqar Ahmed, Kadhim Saeed Awla

“…The study achieves more than 104 samples of questionnaire for the entire population. …”
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An effective microscopic image augmentation approach by Wanying Li, Linhe Yang, Guobei Peng, Guangyao Pang, Zhenming Yu, Xiaoying Zhu

“…Abstract There are too many types of Chinese medicinal herbs (CMH) and it is difficult to collect microscopic images, which naturally leads to the problem of small sample size. In addition, CMH also has some scarcity characteristic, with the proportion of certain cells as low as 0.5%. …”
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Cas9-based enrichment for targeted long-read metabarcoding by Lucia Nikolaeva-Reynolds, Christopher Cammies, Rosemary Crichton, Thomas E. Gorochowski

“…Here, we address these issues by using Cas9 to enrich marker genes for long-read nanopore sequencing directly from a DNA sample, removing the need for PCR. …”
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Limited-Data Augmentation for Fault Diagnosis in Lithium-Ion Battery Energy Storage Systems via Transferable Conditional Diffusion by Zhipeng Yang, Yuhao Pan, Wenchao Liu, Jinhao Meng, Zhengxiang Song

“…By integrating condition-aware sampling strategies, the approach effectively mitigates mode collapse issues frequently encountered in adversarial generative methods, thus substantially enriching the diversity and quality of fault representations. …”
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Synthesis and Characterization of Composite Coating of Iron Oxide and Bioactive Glass, Coated by Electrophoretic co-Deposition Method for Biomedical Applications by M. S. Abbasi, A. Bahrami, A.S. Hosseini-Abari, F. Yousef Saber

“…Prevention of infection and bioactivity of implantable parts in the body is one of the most important issues investigated in medical research in recent years. …”
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A Semantically Enhanced Label Prediction Method for Imbalanced POI Data Category Distribution by Hongwei Zhang, Qingyun Du, Shuai Zhang, Renfei Yang

“…Conventional neural network models primarily target balanced data distribution, but they fail to address the issue of imbalanced distribution of POI data labels in terms of quantity. …”
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Enhancing Few-Shot SAR Ship Recognition: Pseudospectrum Information Generation and Fusion by Gui Gao, WenXi Liu, Xi Zhang

“…The limited number of samples in synthetic aperture radar (SAR) ship datasets hampers the advancement of target recognition performance using deep learning. …”
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Nursing students’ experiences of clinical teaching: A qualitative study by Parand Pourghane

“…Purposive sampling was used to select samples. Data collection was performed through interview and based on actual experiences of students from learning in the clinical environment with answer to 6 open questions. …”
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The influence of acidic comonomer on the properties of polyacrylonitrile fibers produced by the dimethylformamide method by Natallia V. Pchalova, Leonid A. Shcherbina, Iryna A. Budkute, Iryna S. Kozlovskaya

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