EXPLORING THE NEXUS BETWEEN WOMEN'S EMPOWERMENT PROGRAMS, EDUCATIONAL ATTAINMENT, AND AGE DIFFERENCES IN POVERTY ALLEVIATION IN NIGERIA by NNANA OKOI OFEM, TIKU ORU TAKIM, TANGBAN EGBE EBAGU, RITA NGOZI OKAFOR

“…Lastly, "Perceptions of Program Impact" captures the diverse perspectives regarding the actual impact of these programs on the lives of the women involved, showcasing varying degrees of positive and negative experiences and outcomes. …”
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A multi-scale rotated ship targets detection network for remote sensing images in complex scenarios by Siyu Li, Fei Yan, Yunqing Liu, Yuzhuo Shen, Lan Liu, Ke Wang

“…This backbone network retains the capability of local feature extraction while also connecting global context and capturing long-range dependencies. The model can gather information from any position in the sequence, extract contextual information of targets at different scales, and enhance global feature representation. …”
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Numerical Investigation on the Effect of Fuel-Rich Degree in the RBCC Engine under the Ejector Mode by Yizhi Yao, Mingbo Sun, Menglei Li, Peibo Li, An Bin, Rui Gu, Jiaoru Wang, Feng Wei, Taiyu Wang, Jikai Chen

“…Under subsonic conditions (Maf=0.9), the low kinetic energy of captured air leads to the occurrence of “negative thrust surface” and “wall impact” phenomena, which hinder the efficient and stable operation of the RBCC engine. …”
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Development of a Deep Learning‐Assisted Mobile Application for the Identification of Nematodes Through Microscopic Images by Naseeb Singh, Ashish Kumar Singh, L. K. Dhruw, Simardeep Kaur, S. Hazarika, K. K. Mishra, V. K. Mishra, Laxmi Kant

“…The classification accuracy of the developed mobile application was validated by nematode specialists on freshly captured data and found to be greater than 98.0%. Hence, the developed mobile application can be effectively applied for the identification of targeted nematodes and eliminate the necessity of specialists.…”
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MONITORING AND ANALYSIS OF STUDENTS' PERFORMANCE DURING SOFTWARE DEVELOPMENT by Oleksandr Sharyhin, Vasyl Fedorets, Oksana Klochko

“…The primary focus is on the development of novel performance metrics that effectively capture the level of control required from the Team Leader and the quality of work assessed by the QA Engineer. …”
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Gastric Intestinal Metaplasia: Demographic and Epidemiological Characterization in Puerto Rican Hispanics (2012-2014) by Jorge J. Cruz-Cruz, María González-Pons, Adrián Cora-Morges, Marievelisse Soto-Salgado, Giancarlo Colón, Kimberly Alicea, Kathia Rosado, Douglas R. Morgan, Marcia Cruz-Correa

“…Using a cross-sectional study design, we analyzed an extensive pathology database (n=43,993) that captured approximately 50% of all endoscopy biopsies taken during 2012-2014 at academic, public, and private sectors in Puerto Rico. …”
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PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs by Chengrong Yang, Qiwen Jin, Fei Du, Jing Guo, Yujue Zhou

“…Specifically, we first introduce a jointed embedding space learning module (JESL) to encourage the model to better capture the diversity among different labels. Secondly, we propose a hallucinated class generation module (HCG), which generates hallucinated classes by feature diffusion and feature fusion based on the visual and semantic features of seen classes, using these hallucinated classes as placeholders for unseen classes. …”
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An unbiased cell morphology-based screen for new, biologically active small molecules. by Masahiro Tanaka, Raynard Bateman, Daniel Rauh, Eugeni Vaisberg, Shyam Ramachandani, Chao Zhang, Kirk C Hansen, Alma L Burlingame, Jay K Trautman, Kevan M Shokat, Cynthia L Adams

“…This assay format provides unbiased analysis of morphological effects induced by small molecules by capturing phenotypic readouts of most known classes of pharmacological agents and has the potential to read out pathways for which little is known. …”
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Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China by Xiaohua Guo, Chang Liu, Shibo Bi, Yuling Tang

“…This study utilized the “Time Machine” feature to capture street view images from 2014, 2017, and 2021, analyzing changes in green visibility and its equity across residential communities in Wuhan. …”
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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

“…A web and mobile application were developed based on the best-performing models, allowing users to insert or capture images of plant leaves, detect diseases, and receive treatment suggestions with high confidence levels. …”
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Voice-related quality of life after total laryngectomy: a scoping review of recent evidence by Tatiana Pourliaka, Efcharis Panagopoulou, Vassiliki Siafaka

“…Abstract Background Laryngeal cancer often leads to total laryngectomy (TL), which results in the loss of natural voice, necessitates voice rehabilitation and affects the individuals Quality of Life (QoL). …”
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Single treatment selective laser trabeculoplasty in a Southern African resource-constrained context by Emma J. Pons, Jonathan J. Pons, Elly S. Grossman, Daniel Louw, Merle Werbeloff

“…Methods: A retrospective case series of consecutive patients who received SLT between 01 January 2017 and 31 December 2018 was conducted. Patient data were captured for up to 21 months. Results: In all, 59 eyes of 36 patients were analysed. …”
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Decoding communicative action vitality forms in social contexts by Radoslaw Niewiadomski, Radoslaw Niewiadomski, Amrita Suresh, Alessandra Sciutti, Giuseppe Di Cesare, Giuseppe Di Cesare

“…Thousand repetitions of actions were collected, and their kinematics was recorded by using a motion capture system. Twenty-two kinematic features were identified from kinematic data. …”
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Numerical Simulation and Validation for Early Core Degradation Phase under Severe Accidents by Dekui Zhan, Xinhai Zhao, Shaoxiong Xia, Peng Chen, Huandong Chen

“…Compared with integral codes for severe accident analysis (such as MAAP and MELCOR), the models in this paper are established at the fuel pin level and the calculation is performed in 3D, which can capture the detail local phenomena during the core degradation and eliminate the average effect due to equivalent rings used in integral codes. …”
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An analytical study for predicting incipient motion velocity of sediments under ice cover by Hongchun Luo, Honglan Ji, Zijian Chen, Bin Liu, Zhongshu Xue, Zhijun Li

“…The proposed formula is applicable to both open channel and ice-covered flows, effectively capturing the characteristics of incipient sediment motion for non-cohesive and cohesive sediments. …”
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Taking stock of vaccine hesitancy among migrants: a scoping review protocol by Charles S Wiysonge, Sten H Vermund, Akhenaten Siankam Tankwanchi, Anelisa Jaca, Heidi J Larson

“…The search will include an extensive list of keywords to capture multiple dimensions of confidence and hesitancy vis-à-vis vaccines among migrants. …”
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Novel Node Centrality-Based Efficient Empirical Robustness Assessment for Directed Network by Xiaolong Deng, Hao Ding, Yong Chen, Cai Chen, Tiejun Lv

“…These two new centrality models are designed to capture this cascading effect in directed online social networks. …”
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Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data by Hanan Alolaiyan, Maryam Liaqat, Abdul Razaq, Umer Shuaib, Abdul Wakil Baidar, Qin Xin

“…The complex bipolar fuzzy set (CBFS) theory is advantageous in efficiently capturing vagueness because it can incorporate extensive problem descriptions that exhibit periodicity and bipolar ambiguity. …”
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DualCFGL: dual-channel fusion global and local features for sequential recommendation by Shuxu Chen, Yuanyuan Liu, Chao Che, Ziqi Wei, Zhaoqian Zhong

“…Abstract Sequential recommendation systems capture the dynamic interests of users and predict their future preferences. …”
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XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

“…Meanwhile, the LSTMSAT Module, with its capability to learn long-term dependencies in time-series signals, is deployed to capture temporal continuity information. The incorporation of the self-attention mechanism further amplifies the model’s ability to grasp long-distance dependencies and enables dynamic weight allocation to the extracted features. …”
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