Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation by Wei Jiang, Qian Lv, Chenggang Yan, Kewei Tang, Jie Zhang

“…Obtaining an optimum data representation is a challenging issue that arises in many intellectual data processing techniques such as data mining, pattern recognition, and gene clustering. …”
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Few-Shot Flood Water Level Prediction Based on Mechanistic Models and Deep Learning: A Collaborative HEC-RAS-LSTM Framework by Li Faxian, Lv Mou, Li Hang

“…High-quality hydrological data are generated through HEC-RAS to address the issue of missing observed data. And the simulation data are used to drive a neural network model (LSTM) for flood water level prediction. …”
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Mechanical Fault Diagnosis Method of a Disconnector Based on Improved Dung Beetle Optimizer–Multivariate Variational Mode Decomposition and Convolutional Neural Network–Bidirection... by Chi Zhang, Hongzhong Ma, Wei Sun

“…As one of the main faults of a disconnector, a mechanical fault is difficult to diagnose in time because of its weak self-evidence, its wide range of fault categories, and the difficulty in obtaining fault sample data. To address this issue, this study proposes a new fault diagnosis algorithm based on multivariate variational mode decomposition optimized by the improved dung beetle optimizer, and at the same time, an experimental platform for vibration signal acquisition was built to simulate three typical mechanical faults. …”
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Exploring the food taboo among fisherman families in Bulukumba District, South Sulawesi Province, Indonesia by Hairil Akbar, Shermina Oruh, Syamsu A. Kamaruddin, Andi Agustang

“…Eight participants were selected using the purposive sampling method. Data were collected in 2022 using semi-structured interviews and were analyzed using summative content analysis using NVivo software. …”
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Domain-weighted transfer learning and discriminative embeddings for low-resource speaker verification by Han Wang, Mingrui He, Mingjun Zhang, Changzhi Luo, Longting Xu

“…It assigns weights to each sample in the source datasets and utilizes the maximum mean discrepancy (MMD) distance to measure the effectiveness of distribution adaptation. …”
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Research on Storage Grain Temperature Prediction Method Based on FTA-CNN-SE-LSTM with Dual-Domain Data Augmentation and Deep Learning by Hailong Peng, Yuhua Zhu, Zhihui Li

“…Due to limitations in grain storage data acquisition in real-world scenarios, this paper proposes a data augmentation method for grain storage data that operates in both the time and frequency domains, as well as an enhanced grain storage temperature prediction model. To address the issue of small sample sizes in grain storage temperature data, Gaussian noise is added to the grain storage temperature data in the time domain to highlight the subtle variations in the original data. …”
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Determinants of livestock farmers’ adaptation strategies to climate change in Gandaki province, Nepal by VIKASH KUMAR KC, ANANTA RAJ DHUNGANA, PURNA BAHADUR KHAND, RAJENDRA P UPADHAYAYA, MADHAB P BARAL

“… Climate change is a global issue that has significantly impacted the agriculture and livestock sectors. …”
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A novel robust multi-objective evolutionary optimization algorithm based on surviving rate by Wenxiang Jiang, Kai Gao, Shuwei Zhu, Lihong Xu

“…Furthermore, we propose a precise sampling method and a random grouping mechanism to accurately recover solutions resilient to real noise while ensuring population’s diversity. …”
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An exploration of teachers’ practices related to using the phonics approach in Malaysian ESL classrooms by Azyan Shafee, Mohd Syafiq Aiman Mat Noor, Zachary Farouk Chai

“…While adequate training is the core issue in implementing a new policy, training must be ongoing and strategically monitored before they are able to independently develop and create locally-specific tools, knowledge, and expertise. …”
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YOLOv8-UCB: Visual Detection of Pouch Battery Using Improved YOLOv8 by Hao Hao, Xiang Yu

“…Finally, we replaced the loss function with Slide Loss to address the issue of sample classification imbalance. The experimental results indicate that the improved algorithm achieved significant increases in precision, recall, mAP@0.5 and mAP@0.5:0.95, with improvements of 11.7%, 8.2%, 8.9% and 6.5% respectively, over the baseline model. …”
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Configural Perspectives on Urban Talent Ecology and Talent Competitiveness: A Dual Analysis Using GQCA and fsQCA by Peng Jiang, Zhaohu Dong, Ran Zhang, Yingchun Song

“…The findings reveal that there are no bottleneck factors constraining UTC within the sample, interactions, and couplings among six urban talent elements that generated 30 distinct UTEs. …”
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Disability-Related Risks Among Women and Girls Who Are Forcibly Displaced from Venezuela by Tiahna Warkentin, Maria Marisol, Adans Bermeo, Susan A. Bartels

“…Since discrimination is a cross-cutting issue, human rights awareness highlighting the dignity of persons with disabilities is imperative. …”
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The Impact of Dating Apps on the Mental Health of the LGBTIQA+ Population by Laura Perić, Michel Rabar, Tihomir Orehovački

“…Cyberbullying was identified as a prominent issue, strongly associated with heightened anxiety, reduced self-confidence, and increased fear. …”
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Unravelling Psychological Ramifications of Gender-Based Violence against Male Lecturers in Rural Universities of Zimbabwe by Munyaradzi Chidarikire, Juliet Kamwendo

“…Gender-based violence is a deeply rooted issue in Zimbabwe, affecting both women and male lecturers. …”
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The influence of FinTech and gender diversity on bank financial stability: experience from Jordan by Faraj Salman Alfawareh, Mohammed Degan, Aram Jawhar Mohammad

“…Abstract This study aims to examine the influence of financial technology (FinTech) and gender diversity on bank financial stability in relation to the Jordanian business environment. The sample consists of 12 ASE-listed commercial banks over the 2010–2023 period. …”
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Identification of Bovine, Pig and Duck Meat Species in Mixtures and in Meat Products on the Basis of the mtDNA Cytochrome Oxidase Subunit I (COI) Gene Sequence by Spychaj Anita, Szalata Marlena, Słomski Ryszard, Pospiech Edward

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Factors Affecting Attitudes towards Cohabitation among Iranian Youth by Reyhane Ghasemi Neyasar, Rasoul Sadeghi, Fatemeh Torabi

“…A multi-stage sampling method was employed for sample selection. …”
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Cerebrospinal Fluid Presepsin as a Marker of Nosocomial Infections of Central Nervous System by S. A. Abudeyev, K. V. Kiselyov, O. V. Parinov, Yu. D. Udalov, M. A. Zabelin, A. S. Samoylov, K. A. Popugayev

“…The timely diagnosis of NI-CNS is a relevant problem and the search for new reliable markers of NI-CNS is an important issue.MATERIAL AND METHODS The prospective observational study consisted of two parts. …”
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Prevalence of gender-based violence and factors associated with help-seeking among university students in sub-Saharan Africa by Ruth Owusu-Antwi, Lisa Fedina, Maria Jose Baeza Robba, Kristie Khatibi, Dennis Bosomtwe, Etienne Nsereko, Oluwatobiloba Shadare, Sarah Compton, Akanni Akinyemi, Moreoagae Bertha Randa, Abiola A Afolabi, Michelle L. Munro-Kramer

“…Conclusion: GBV is a significant public health issue among university students in sub-Saharan Africa. …”
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Has contract farming improved the green technology efficiency of vegetable growers? Empirical evidence from rural areas in Shandong Province, China by Qi Li, Zixuan Wang

“…This paper investigates the impact of contract farming participation on farmers' green technology efficiency using data from a sample of 627 vegetable growers in Shandong, China and employs the propensity score matching method. …”
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